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i Analysis of Human Bite Marks with BitePrint© Software By Evan Chen Yang Thing A thesis submitted in fulfilment of the requirements for the degree of Master of Forensic Science (Professional Practice) in The School of Veterinary and Life Sciences Murdoch University James Speers Semester 1, 2019

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Page 1: Analysis of Human Bite Marks with BitePrint© Software...other evidence presented in court. It can analyse 2-dimensional and 3-dimensional images and is computer operated, reducing

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Analysis of Human Bite Marks with BitePrint© Software

By

Evan Chen Yang Thing

A thesis submitted in fulfilment of the requirements for the degree of

Master of Forensic Science (Professional Practice)

in

The School of Veterinary and Life Sciences

Murdoch University

James Speers

Semester 1, 2019

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Declaration

I declare that this thesis does not contain any material submitted previously for the award of

any other degree or diploma at any university or other tertiary institution. Furthermore, to

the best of my knowledge, it does not contain any material previously published or written

by another individual, except where due reference has been made in the text. Finally, I declare

that all reported experimentations performed in this research were carried out by myself,

except that any contribution by others, with whom I have worked is explicitly acknowledged.

Signed: Evan Thing

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Acknowledgements

The author would like to express their sincere gratitude to the following people for their

support throughout the completion of the Masters’ degree:

Associate Professor James Speers: Thank you very much for your guidance and patience

throughout the whole master’s degree. There are times where I have lost confidence and felt

like giving up but you were always there to support and encourage me.

My Family and Friends: Thank you for putting up with me through the master’s degree, especially for the final semester. I really appreciate the words of encouragement from every one of you. Thank you to those who helped proofread my literature review and manuscript.

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Table of Contents

Title Page ................................................................................................................................ i

Declaration ............................................................................................................................ ii

Acknowledgements.............................................................................................................. iii

Part One Literature Review ................................................................................................... 1-30

Part Two Manuscript ............................................................................................................. 1-11

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Part One

Literature Review

Analysis of Human Bite Marks with BitePrint© Software

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TABLE OF CONTENTS………………………………………………………………………………………………………. 2

LIST OF FIGURES……………………………………………………………………………………………………………… 3

LIST OF ABBREVIATIONS…………………………………………………………………………………………………. 4

ABSTRACT……………………………………………………………………………………………………….…………..... 5

1.0 INTRODUCTION: FORENSIC DENTISTRY AND BITE MARKS…………………………………………. 6

2.0 DISCUSSION…………………………………………………………………………………………………………….. 7

2.1 HUMAN TEETH CHARACTERISTICS………………………………………………………………… 8

2.1.1 CLASS CHARACTERISTICS………………………………………………………………... 11

2.1.2 INDIVIDUAL CHARACTERISTICS…………………………………………………….. 12

2.1.3 DISPARITY FROM STANDARD HUMAN MODEL……………………………….. 12

2.1.3.1 PRIMARY DISTORTION………………………………………………………… 13

2.1.3.2 SECONDARY DISTORTION……………………………………………………. 14

2.2 FORMATION OF A BITE MARK………………………………………………………………………. 15

2.3 BITE MARK IDENTIFICATION…………………………………………………………………………. 16

2.3.1 ISSUES WITH BITE MARK ANALYSIS………………………………………………... 18

2.4 METHODS USED IN BITE MARK ANALYSIS……………………………………………………. 19

2.4.1 2-DIMENSIONAL TECHNIQUES……………………………………………………….. 20

2.4.2 3-DIMENSIONAL TECHNIQUES……………………………………………………….. 22

2.5 NEW TECHNIQUES IN BITE MARK ANALYSIS…………………………………………………. 23

3.0 EXPERIMENTAL DESIGN ELEMENTS…………………………………………………………………………. 24

3.1 BITE MEDIUM………………………………………………………………………………………………….. 24

3.2 DENTAL CAST…………………………………………………………………………………………………… 25

3.3 BitePrint© SOFTWARE…………………………………………………………………………………….. 25

4.0 EXPERIMENTAL AIMS AND HYPOTHESIS………………………………………………………………….. 26

5.0 CONCLUSION…………………………………………………………………………………………………………… 26

6.0 REFERENCE LIST………………………………………………………………………………………………………. 27

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LIST OF FIGURES

Figure 1: Characteristics of human upper teeth…………………………………………………………..…….. 9

Figure 2: Characteristics of human lower teeth…………………………………………………………………. 10

Figure 3: Adult dental formula…………………………………………………………………………………………… 12

Figure 4: Bite mark on human skin…………………………………………………………………………….………..15

Figure 5: ABFO Flowchart in bite mark identification………………………………………….……………… 17

Figure 6: Bite mark on a modelling wax sheet…………………………………………………………..………… 25

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LIST OF ABBREVIATIONS ABFO AMERICAN BOARD OF FORENSIC ODONTOLOGY 2D 2-DIMENSIONAL 3D 3-DIMENSIONAL

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ABSTRACT

The human teeth are a widely available form of weapon for self-defence or destruction. This

is evident in various sexual assault or abuse cases, leaving impressions that are often the only

piece of evidence in investigation. Hence, there is a need for the analysis of bite impression.

Bite mark analysis can be useful in identifying the source of the impression on a victim. This

can assist in suspect identification. However, there are many controversies regarding bite

mark analysis as it is based on the assumption that the human dentition is unique to individual

and there is no standardized method of analysis. Hence, there is a need for research in this

aspect.

There are currently several techniques used in bite mark analysis, each with its own

limitations. The BitePrint© software is developed in hopes of setting a gold standard

analytical system for bite mark industry to ensure that bite mark evidence is as robust as any

other evidence presented in court. It can analyse 2-dimensional and 3-dimensional images

and is computer operated, reducing examiner’s bias and subjectivity. However, as it is a newly

developed software, it has not been tested of its reliability and accuracy in measuring bite

mark. This literature hope to shed light into some of the things that BitePrint© software can

do, and that it will assist forensic dentists in future bite mark analysis.

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1.0 INTRODUCTION: FORENSIC DENTISTRY AND BITE MARKS

Forensic dentistry is the application of dental knowledge to legal investigations.1 It was

common knowledge amongst forensic odontologists that bite marks are not reliable in

producing an accurate identification of the source. However, this changed when the

perpetrator of the Marx case was found with the help of the bite mark in 1975.2 The victim of

the case had an oval shaped indentation on her nose that was determined to be caused by a

human bite. This was compared to the cast of the person of interest it was found to be

extremely similar. As a rule, for evidence that requires scientific testing to be admissible in

court, it must be demostrated by recognized experts of that field.2 At that time, none of the

experts recognized bite mark evidence in court cases as there were no standardization for it.

After the Marx case in 1975, the effort to ensure that bite mark evidence is as robust as any

other evidence was acknowledged and this propels the research of bite mark analysis.

According to the ABFO manual, a bite mark is defined as a physical alteration in a medium

caused by the contact of teeth and a representative pattern left in an object or tissue by the

dental structures of an animal or human.3 It is the result of a series of complex physical events

when teeth meet skin or food.4 The human teeth can be used as a weapon, and will result in

the formation of a bite mark when the act of biting is present.5

Bite marks are usually found on victims of several crimes, including and not limited to abuse,

sexual assault and homicide. Bite marks are classified as pattern injuries as it shows the

features of the dentition of the biter.1 As such, the features can be recorded and examined

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by forensic dentists. It was said that bite marks are comparable to fingerprints, as they both

provide minute details of an individual.5

Bite mark analysis involves the comparison of the shape, size and position of teeth of a bite

mark to a dentition.6 It is based on the assumption that the human dentition is unique to

individuals and these unique characteristics can be transferred on to the biting substrate.7

This, along with the fact that bite mark analysis is solely based on the experience and

perspective of the examiner, showed that it does not meet the standard of validity to be

presented as evidence in court.8 BitePrint© is a software developed in 2017 by Ramos et al.

This software is developed with the intention of standardizing the bite mark analysis.

Therefore, the purpose of this literature review is to address the issues in bite mark analysis

and how it can be made as robust as other court evidence. It will help in the development of

a standardized method of bite mark analysis.

2.0 DISCUSSION

This section aims to review and discuss the literature currently available regarding bite mark

analysis and current techniques involved in identifying bite marks. This includes the human

teeth characteristics and nomenclature, types of variations and distortions, and the steps

involved in bite mark analysis. The section will finish by summarizing the current known

techniques used in bite mark analysis and their limitations.

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2.1 HUMAN TEETH CHARACTERISTICS

The human teeth are classified into three main characteristics for bite mark analysis. They are

the class characteristics, individual characteristics and disparity from the standard human bite

mark model. The class characteristics are the general, obvious characteristics that are often

used in the identification of a bite mark and the determination of the source of the bite mark,

human or animal. The individual characteristics are attributes that are unique to the biter and

are used to differentiate between bite marks. Disparity from the standard human bite mark

model are variations that are present in a bite mark that differs from a perfect human bite

mark model. The primary morphology of human dentition is shown in Figure 1, 2. They show

the general anatomy of the human dentition. These are useful in determining the

characteristics of bitemarks. The human bite marks can be categorised into seven lesion

types9,10,11

1. Haemorrhage, which is a small bleeding spot

2. Abrasion, an undamaging mark of the skin

3. Contusion or Bruise, the rupture of a blood vessel

4. Laceration, when then skin is torn or punctured

5. Incision, a neat skin puncture

6. Avulsion, when the skin is removed

7. Artifact, when a piece of the skin is bitten off

These lesions can be further defined by their degree of impression, namely clearly defined,

which is caused by significant pressure, obviously defined, caused by first degree pressure,

quite noticeable, caused by violent pressure and lacerated, caused by the violent removal of

skin from the body. 9,10,11,12

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Figure 1. Characteristics of Human upper teeth. (Image obtained from 35)

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Figure 2. Characteristics of human lower teeth. (Image taken from 35)

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2.1.1 CLASS CHARACTERISTICS

Class characteristics of a bite mark can be divided into the following categories:

1. Teeth marks present: a maximum of 6 teeth marks are seen in a bite mark, which

includes two canines and four incisors. The premolars and molars are usually not seen

in a bite mark. It also depends on the type of lesion that was created and the

impression created will vary.

2. Shape of the bite mark: the shape is generally round, oval shaped, or U-shaped

arcades.

3. Arcade dimension: the arcade dimensions are measured between the cuspidal

midpoints. Female arcade dimensions are usually smaller than the males, however

these values usually overlap so it is very difficult to differentiate them.

4. Bite mark dimension: it is measured between the superior and inferior central incisors,

and can be altered by the bite medium. A bite mark dimension made on a flat surface

will be smaller than one made on a curved surface.

5. Arch impression: Mandible teeth will leave a more prominent mark while the maxillary

teeth will leave a bigger mark.

6. Teeth arrangement: there are four incisors that are usually rectangular or straight,

followed by two canines which are triangular, rounded or rectangular, followed by

premolar and the molar.

7. Dental formula: the adult dental formula is 2 incisors (central and lateral), 1 canine, 2

premolars (1st and 2nd bicuspid) and 3 molars (1st, 2nd and 3rd) on one side of the upper

mouth. (2I, 1C, 2P, M3) This is used to differentiate between a human bite from an

animal bite.

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Figure 3. Adult dental formula. (Image obtained from 13)

2.1.2 INDIVIDUAL CHARACTERISTICS

The most commonly identified individual characteristics are the following:

1. Arch width: the arch width is measured from canine to canine

2. Arch shape: arch shapes are generally U, C or oval.

3. Tooth shape: this includes the shape of the tooth from canine to canine, the width,

positioning, and thickness of each tooth.

4. Inter-tooth distance: the distance measured between each tooth varies from person

to person

5. Missing teeth

6. Spatial analysis: the distance measured from each tooth in a same arch with a fixed

point, measured from the center of a tooth.

2.1.3 DISPARITY FROM THE STANDARD HUMAN BITE MODEL

A bite mark generally does not have all the class characteristics with no distortions.

Distortions are divided into two main categories: primary and secondary distortion.

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2.1.3.1 PRIMARY DISTORTION

Primary distortion happens at the time of biting. This type of distortion is present in every

bite mark and varies with each. Primary distortions can be divided into two types, dynamic

distortion and tissue distortion. Dynamic distortions are caused by the movement between

the teeth and the bite medium. There can be a range of minimum to maximum distortion

present in a bite mark. Several factors can affect the amount of dynamic distortion in s bite

mark, which includes but not limited to the biter’s lips and tongue, the victim’s clothing, the

amount of force of the bite, movements of the victim while bitten. Tissue distortions are

caused by the pathological and physiological responses of the body after being bitten. The

body’s natural reaction to heal the tissues after being bitten cause this type of distortion, and

can be grouped into three different characteristics, physiological, pathological and

posttraumatic characteristics. Physiological characteristics include the thickness and elasticity

of the skin, the victim’s age and sex, and the location of the bite. Pathological characteristics

are caused by pathological conditions of the victim which can distort the bite mark. These

conditions include platelet disorders, coagulation factors disorders, elastic fiber disorders and

small vessel disorders. Posttraumatic characteristics are changes to the tissue caused by the

body after being bitten. This includes tissue edema and inflammation, scarring and healing of

the tissue.

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2.1.3.2 SECONDARY DISTORTION

Secondary distortion happens after the biting, and is not related to the changes in the tissues

or the biting mechanism. It is reported that secondary distortions are caused by elasticity of

the skin surface, the condition of the bite surface, and the pathological changes to the surface

after bite.14 The changes are generally temporary and can be corrected. There are three types

of secondary distortion, time related distortion, recording distortion and postural distortion.

Time related distortions are changes to the appearance of the bite mark over time. This is

generally caused by bruising which changes the shape of the bite mark and scarring of the

tissue after bite. Time related distortions are often the main reason disparity between bite

marks are formed. Recording distortions are mainly caused by improper recording techniques

used. The most common recording distortion is photographic distortion. Photographic

distortions are the result of improper technique used when recording bite mark using

photography. This is also caused by transcribing a 3D event, into a 2D image. To reduce

photographic distortions, the photograph must be taken 90o perpendicular from the surface

and a scale should be placed on the same plane as the bite mark to reduce parallax error. A

standard scale was created by the ABFO to reduce photographic distortions. Postural

distortion is formed when a bite mark was recorded or viewed in a different position from the

biting position. The victim’s body position at the time of biting greatly affects postural

distortion. Therefore, it is paramount that the position of the victim be reconstructed as

accurate as possible before recording the bite mark to reduce postural distortion.15

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2.2 FORMATION OF A BITEMARK

There are three main mechanism associated with the formation of a bite mark; tooth scrape,

tongue pressure and tooth pressure. Tooth scrapes are caused by the incisors and canine

against the bite surface. This usually appear as scratches and abrasions on the surface, which

can be useful in identification if said scratches and abrasions have any anomaly present.16

Tongue pressure is formed when the tongue pressed the skin in between the teeth, forming

marks on the skin due to the pressure. Tooth pressure marks are caused by application of

direct pressure from the teeth to the skin.17The visibility of the mark is dependent on the

amount of force used, the duration the force was applied and movement of the teeth and

skin if applicable. There are two distinct features of teeth pressure marks. The pale area

shows the incisional edges while the bruising shows the margin. A complex mark is a bite mark

that consists of two or more of the above mechanisms.

Figure.4 Bite mark on human skin (Image taken from 11)

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2.3 BITE MARK IDENTIFICATION

The first step in bite mark identification is to determine the source of the bite pattern. It is

stated in the ABFO guideline that a bite pattern must be determined to be caused by human

teeth before further analysis can take place.3 The bite pattern must show class and/or

individual characteristics of human teeth to be concluded as a human bite mark. The bite

pattern will be considered inconclusive if there are insufficient details that allow the examiner

to reach a conclusion and no further analysis will be done to that pattern. Once it is identified

as a human bite mark, the examiner will then compare it with the dentition of the person of

interest. This will lead to three conclusions, excluded as having made the bite mark, not

excluded as having made the bite mark, and inconclusive. The dentition of the person of

interest is deemed excluded as having made the bite mark when the it shows class and/or

individual characteristics that does not correlate with the bite mark in question. It is deemed

not excluded as having made the bite mark when it shows class and/or individual

characteristics that could have caused the bite mark. It is deemed inconclusive when there

are insufficient details for the examiner to reach a conclusion.

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Figure 5. ABFO Flowchart in bite mark identification (Image obtained from 3)

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2.3.1 ISSUES WITH BITE MARK ANALYSIS

ABFO had developed a guideline for bite mark analysis and comparison to try and provide a

standardization. However, there is no agreement amongst forensic odonatologists around

the world as to what is a standard, be it national or international.18 Although this method has

shown that it can provide a positive identification, no studies has been done to support the

accuracy of the method. Studies had shown that different examiners have come up with

different results based on the same bite mark impression.18 It is noted that the interpretation

of an examiner is based on their experience and method of analysis as there is no requirement

that they follow the guidelines set up by ABFO for analysis.14This resulted in some cases where

individuals were convicted solely based on bite mark identification to get overturned with

other contradictory evidences present.19 The guideline does not specify the criteria and the

degree of probability that the dentition in question caused the bite mark.18 There is also no

scientific basis on the reproducibility of the various analytical methods. This was shown in a

controlled study where different experts produced different results.20 There is also an issue

where bite marks are unique to everyone is not scientifically supported. No study has been

done with a wide enough population to determine the uniqueness of bite mark. Even if the

person of interest’s dental cast cannot be excluded as the one that made the bite, unlike DNA

evidence, there is no scientific basis to indicate the percentage of population that may have

also made the bite.18 To add on to that, blind comparisons of dental casts are usually not done

and comparisons are generally made with the bite mark and a dental cast from the person of

interest. This can then lead to examiner’s bias as there were no other models to compare

with. Unlike other scientific based method, the opinion of a second examiner is seldom used

in bite mark analysis. The whole idea of bite mark analysis is not scientifically proven but

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subjective based on the experience of the examiner, in that there are no studies done to show

the unique pattern of human dentition, and that this pattern can be transferred onto human

skin intact.18 This shows the current issue with bite mark analysis, in that it is subjective to the

examiner and the results obtained are not reproducible. This may explain the high false

positive rate for bite mark analysis. This goes to show that there are still several loopholes in

bite mark analysis that needs to be addressed for it to be a robust evidence in court.

2.4 METHODS USED IN BITE MARK ANALYSIS

Before any analysis of a bite mark can take place, it must first be recorded. There are several

ways to record a bite mark on a victim for analysis. The most commonly used method is

photography.21 This is because photograph of bite marks usually shows both the mandibular

and maxillary teeth and their characteristics. Close-up photographs of the bite mark are taken

with high resolution to ensure that the features are captured.22 A scale must be placed on the

same plane adjacent to the bite mark to ensure minimal distortion. There are several methods

used in bite mark analysis, which includes 2-dimension and 3-dimension techniques.

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2.4.1 2-DIMENSIONAL TECHNIQUES

The commonly used 2-dimensional techniques are hand tracing from study casts, hand tracing

from wax impression, xerographic-based method, radiopaque wax impression and 2-

dimensional computer based method.

1. Hand tracing from study casts

This is done by placing a transparent sheet directly over both the top and bottom of

the study casts and traced using a soft tipped felt pen by an examiner. The perimeter

of the incisors and canine is to be noted by the examiner.

2. Hand tracing from wax impression

Like hand tracing from study casts, this method involves placing a transparent sheet

and tracing. But instead of tracing directly from the casts, the casts were pressed on a

modelling wax sheet to create an impression that contains the incisors and canine.

The examiner is then tasked to trace the impression from the wax sheet.

3. Xerographic-based method

This method utilises a photocopy machine to create a life like image from the study

casts. The cast was put on the glass plate of the photocopy machine with a weight on

top to ensure that the incisors touches the glass. It is then covered with a white cloth

to prevent light from escaping. The resulting image was photocopied onto a piece of

A4 paper, which is subsequently traced with a transparent sheet and a soft tipped felt

pen by the examiner.

4. Radiopaque wax impression

A shallow impression of the cast was first done using the hand tracing from wax

impression method. Metal powder was then added to the impression. This powder

records the size, shape and position of the incisors and canine of the cast. A

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radiographic image was then produced using an x-ray machine. A transparent sheet is

then placed over the radiographic image and traced with a pen by the examiner.

5. 2-Dimensional computer-based method

This method involves the usage of computer to assist in the analysis of a bite mark.

The study cast was first placed on the scanner plate incisor face down and a coloured

image is obtained. The image is then imported to photo enhancing software like

Adobe Photoshop and rotated to ensure edge is parallel to the x axis of the computer.

The biting edge is then selected semi automatically using the magnetic lasso tool.

With these 2 dimensional methods used in bite mark analysis, it is noted that hand tracing

techniques are subjective to the examiner and the results cannot be replicated by others. This

is a highly unreliable method of analysis and should not be used as it is not accurate in

reproducing the bite mark.23 The computer-based method however, allows the examiner to

enhance the image to allow greater details to be detected, changes the magnification so more

details can be seen, and even correct any distortion in the original photograph. This semi-

automatic method still requires the input of the examiner, which means certain element of

the analysis is still being controlled by the examiner. The downside of it is that it is costly and

requires the examiner to understand the operation of the software to fully utilise it. Although

the computer-based method is considered the gold standard for bite mark analysis, it was

found that the Xerographic-based method was the best amongst all the 2-dimensional

techniques as it can detect fractures in the model, which can be a significant individual

characteristic. Therefore, Xerographic-based method can be used as a preliminary

examination tool prior to using computer-based method.24

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2.4.2 3-DIMENSIONAL TECHNIQUES

A study was done by S.Evans et al in 2013 with regards to 3-dimensional imaging for bite mark

analysis.25 In his study, the author selected 3 different methods to review against a set of

benchmarks, which are usability of the hardware, usability of the software, cost, court

validation and precision and accuracy of each software. The 3 methods chosen were

Gesellschaft fur Optische Messtechnik (GOM) Tritop/Atoss (Advanced TOpmetric Sensor) II

system from the Institute of Forensic Medicine Bern26, the ModelMaker H40 Laser scanner at

the University of Melbourne27 and the Picza 3D scanner at the University of Granada.28 What

he found out was that the Melbourne and Granada method uses the technology that is not

suitable for majority of the cases of bite mark analysis due to slow capture time and the lack

of mobility.25 Both studies using the two systems are done using bite impression and not a

pattern bruise. It was concluded that the GOM system from Bern is the current gold standard

for 3D analysis of bite marks. However, the system is way too expensive to be used as a

practical tool for bite mark analysis in agencies in the forensic science field. However, another

study done by Martin-de las Heras et al showed that the Granada method is precise and

accurate for bite mark analysis.28 Another study was done by Molina A et al to compare

contact and laser 3D scanners in bite mark analysis. They concluded that no significant

differences were found between the two method, and each has its own pros and cons. 29 3D

techniques were found out to have less angular distortion compared to 2D techniques.25

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2.5 NEW TECHNIQUE IN BITEMARK ANALYSIS

A new software (BitePrint©) was developed by Ramos et al in 2017 for bite mark analysis.

Bite mark photographs of victims in real forensic cases that were considered gold standard

by the court were used in the study.30 The Johansen and Bower method was used to correct

any photographic distortion.31 The software used the ABFO no 2 scale as the coordinate

system. The software worked with original photographs of bite marks, and can also process

images produced from the DentalPrint software, which preserves the dynamic characteristics

of biting.30 This proves that the software is highly versatile in the type of image it can process.

It is also less subjective for the examiner as the software is semi-automatic. The examiner

insert the two axes, the mesiodistal length and the bucco-lingual width of each tooth mark

and it will automatically compute the initial ellipses of the tooth mark. This helps to greatly

reduce the participation of the examiner, thus reducing examiner’s bias in interpreting the

evidence. As this is a newly developed software, further research and testing must be done

to ensure its accuracy and reliability.

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3.0 EXPERIMENTAL DESIGN ELEMENT

3.1 BITE MEDIUM

The human skin is the most common bite medium that is associated with bite mark analysis.

However, the way that human skin reacts to trauma, in this case, being bitten, varies. The

location, amount of fat and muscle tissues present and the curvature and tension of which

the bite occur can also affect the appearance of a bite mark.32 The skin contains collagen

fibers that causes the elasticity. This results in the skin stretching when under pressure, in this

instance, when it is bitten and will subsequently return to its original position. The extent of

which the skins stretch is dependent on the age of the victim, the location where the bite

occurs, and the posture of the victim when the bite occurs. Therefore, distortion may occur

while the skin is being bitten or during evidence collection. This shows that bite marks

obtained from the skin may not be an accurate record of the bite mark for analysis.33 A study

was done to determine the reliability of skin as a medium for bite mark analysis as compared

to wax and pig skin. The author found that bite marks made on pig skin showed a similar

distortion that occur in human skin, while wax readily captures the details of a bite mark and

were easily identified by examiners.35 Hence, wax sheet will be a suitable bite medium used

in the design of the experiment to ensure that the details of the bite mark will be recorded

and the rigidity of wax sheet will ensure that less distortion will occur, allowing for a more

accurate result. This was further strengthened in another study done where Styrofoam and

modelling wax sheets were use in the recording of bite marks from dental casts. They found

that modelling wax sheets is reliable in retaining the bite marks due to it being sturdy.36

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Figure 6. Bite mark on a modelling wax sheet. (Image obtained from 36)

3.2 DENTAL CAST

The dental casts used will be form using Hydrocal®105 yellow dental stone. The dental stone

selected sets quickly and produces a robust dental cast. The cast produced will be a mirror

replica of the original impression.

3.3 BitePrint© SOFTWARE

BitePrint© software is a new software developed by Ramos et al in 2017 to aid in bite mark

analysis. This software will be used in the experiment as the reliability and accuracy of the

software needs to be further tested. Based on the developer’s article, it showed that the

software was developed using bite mark photographs from real forensic cases that were

considered the gold standard by the court. Therefore, it is promising that this software may

be the standard method for bite mark analysis in the future.

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4.0 EXPERIMENTAL AIMS AND HYPOTHESIS

Based on the research presented in the literature review, it is clear that the basis of bite mark

analysis in forensic science is still not as robust as other types of analysis. This is due to the

lack of standardization, and the analysis being overall subjective based on the examiner’s

experience. The use of BitePrint© software may alleviate this problem, as it helps create a

standard platform for agencies in the forensic science industry to use for bite mark analysis.

However, as it is a newly developed software, further testing needs to be done to ensure that

it is as precise and accurate as stated. Therefore, the aim of the experiment is to:

1. Determine the precision and accuracy of BitePrint© software with regards to bite

mark analysis using dental casts compared to manual measurement

Experimental Hypothesis

H0: BitePrint© software is not precise and accurate in determining the bite marks from dental

casts compared to the overlay method.

H1: BitePrint© software is precise and accurate in determining the bite marks from dental

casts compared to the overlay method.

5.0 CONCLUSION

There is currently no standardized method for bite mark analysis. Although the ABFO has

come up with guidelines for bite mark analysis, it is not peer reviewed and there is no

agreement between different examiners to use a standard method. This caused different

results being obtained from the same bite mark impression. There is also the assumption that

bite mark is unique to individual and there is no study done with a wide population to produce

a database. As there is no database to compare to, the examiners were usually given the

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dentition of a person of interest to compare to a bite mark on a victim. This inherently causes

examiner’s bias. It is thought that the development of BitePrint© software can help alleviate

some of the issues and be the standardized method used in bite mark analysis. However, it is

still a relatively new software and more research needs to be done on it to prove its accuracy,

precision and reliability in bite mark analysis.

6.0 REFERENCE LIST

1. Forensic Odontology – The Forensics Library. [Internet] Aboutforensics.co.uk

2. Hodo v. Superior Court. [Internet] Justia Law. 1973

3. American Board of Forensic Odontology. Standards and Guidelines for Evaluating Bitemarks [Internet]. 2018. Available from http://abfo.org/wp-content/uploads/2012/08/ABFO-Standards-Guidelines-for-Evaluating-Bitemarks-Feb-2018.pdf

4. Radford G, Kieser J, Bernal V, Waddell J. Biomechanical approach to human bitemark reconstruction. 2009.

5. Pretty I, Sweet D. The scientific basis for human bitemark analyses – a critical review.

Science & Justice. 2001;41(2):85-92.

6. Levine L.J. Bite mark evidence. In: Standish S.M., Stimson P.G., editors. vol. 21. Dental

Clinics of North America; 1977. pp. 145–158.

7. Hale A. The admissibility of bitemark evidence. Southern Californian Law Review. 1978;

51(3): 309 – 334

8. The President’s Council of Advisors on Science and Technology. Report to the

president. Forensic science in Criminal courts: Ensuring scientific validity of feature-

comparison methods. 2016.

9. Benson BW, Cottone JA, Bomberg TJ, Sperber ND. Bite mark impression: A review of

technique and materials. Journal of Forensic Science. 1988; 33: 1238 – 1243.

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10. Shamin T, Varghese VI, Shameena PM, Sudha S. Human bite marks: The tools marks

of the oral cavity. Journal of Indian Academy of Forensic Medicine. 2006; 28(2): 971 –

973.

11. Kaur S, Krishan K, Chatterhee PM, & Kanchan T. Analysis and identification of bite

marks in forensic casework. Journal of Oral Health and Dental Management. 2013;

12(3): 127 –131.

12. Sweet D. Human bite marks: Examination recovery and analysis. Manual of Forensic

Odontology. Ontario: Manticore;1995

13. Dental Formula [Internet]. New Health Guide. Available from:

https://www.newhealthguide.org/Dental-Formula.html

14. Bowers CM, Pretty IA. Expert disagreement in bitemark casework. Journal of Forensic

Science. 2009; 54(4): 915 – 918.

15. Sheasby DR, Macdonald DG. A forensic classification of distortion in human bite marks.

Forensic Science International. 2001; 122: 75 – 78.

16. Beena VT, Gopinath D, Heera R, Rajeev R, Sivakumar R. Bite marks from the crime

scene- An overview. Oral Maxillofac Pathol J 3: 192-197

17. L Vale, G. Dentistry, bite marks and the investigation of crime. Journal of the California

Dental Association. 1996; 24. 29-34.

18. The National Academy of Science. Strengthening forensic science in the United States:

A path forward. The Natioanl Academies Press, Washington, D.C. 2009

19. C.M. Bowers. 2006. Problem-based analysis of bite mark misidentifications: The role

of DNA. Forensic Science International 159 Supplement 1:s104-s109.

20. Saks MJ, Albright T, Bohan TL, Bierer BE, Bowers CM, Bush MA, et al. Forensic bitemark

identification: weak foundations, exaggerated claims. Journal of Law and the

Biosciences. Oxford University Press. 2016. 538 – 575.

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21. Rawson R, Vale G, Herschaft E, Sperber N, Dowell S. Analysis of Photographic Distortion in Bite Marks: A Report of the Bite Mark Guidelines Committee. Journal of Forensic Sciences. 1986;31(4):11904J.

22. Bush M, Miller R, Bush P, Dorion R. Biomechanical Factors in Human Dermal Bitemarks

in a Cadaver Model*. Journal of Forensic Sciences. 2009;54(1):167-176.

23. Santhosh SS, Jagannathan N. Bite marks in criminal investigation. Indian Journal of

Forensic Medicine & Toxicology. 2014.

24. Manaktala N, Pallam N, Boaz K, Natrajan S, Raj M, Lewis A. Computer–based method of bite mark analysis: A benchmark in forensic dentistry?. Journal of Forensic Dental Sciences. 2016;8(1):32.

25. Evans S, Jones C, Plassmann P. 3D imaging for bite mark analysis. The Imaging Science

Journal. 2013;61(4):351-360.

26. Thali M, Braun M, Markwalder T, Brueschweiler W, Zollinger U, Malik N et al. Bite mark

documentation and analysis: the forensic 3D/CAD supported photogrammetry approach. Forensic Science International. 2003;135(2):115-121.

27. Blackwell S, Taylor R, Gordon I, Ogleby C, Tanijiri T, Yoshino M et al. 3-D imaging and quantitative comparison of human dentitions and simulated bite marks. International Journal of Legal Medicine. 2006;121(1):9-17.

28. Martin-de las Heras S, Valenzuela A, Javier Valverde A, Torres J, Luna-del-Castillo J.

Effectiveness of Comparison Overlays Generated with DentalPrint�Software in Bite

Mark Analysis. Journal of Forensic Sciences. 2007;52(1):151-156.

29. Molina A, Martin-de-las-Heras S. Accuracy of 3D Scanners in Tooth Mark Analysis. Journal of Forensic Sciences. 2014;60:S222-S226.

30. Ramos B, Torres J, Molina A, Martin-de-las-Heras S. A new method to geometrically

represent bite marks in human skin for comparison with the suspected dentition. Australian Journal of Forensic Sciences. 2017;51(2):220-230.

31. Johansen RJ, Bowers CM. Digital analysis of bite mark evidence: Using Adobe Photoshop. Forensic Imaging Services, Santa Barbara, 2000

32. Erdman KA, Colon JE. Recognition of human bite marks: What the dental hygienist should know. The Newsmagazine of the American Dental Hygienists’ Association;

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Chicago. 2013; 27(4): 24 – 26.

33. Naru AS, Dykes E. Digital image cross-correlation technique for bite mark investigation.

Science & Justice. 1997; 37(4): 251 – 258.

34. Whittaker DK. Some laboratory studies on accuracy of bite mark comparison.

International Dental Journal. 1975; 25: 166 – 171. 35. Hostiuc S, Curcă G, Dermengiu D, Rusu M. Bitemark analysis in legal medicine -

literature review. Romanian Journal of Legal Medicine. 2008;16(4).

36. Khatri M, Daniel M, Srinivasan S. A comparative study of overlay generation methods in bite mark analysis. Journal of Forensic Dental Sciences. 2013;5(1):16.

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Part Two

Manuscript

Analysis of Human Bite Marks with BitePrint© Software

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Analysis of Human Bite Marks with BitePrint© Software

Evan Thing1, James Speers1

1Murdoch University, School of Veterinary and Life Science, Perth, WA.

ABSTRACT

Bite mark analysis can be crucial in the identification of alledged perpetrators in crimes such

as sexual assault, domestic abuse and homicide. Although bite marks are generally accepted

in court as evidence, the basis of bite mark analysis has not been proven, and there is

currently no standardised method used for analysis. A new software, BitePrint©, was

developed in 2017 by Ramos et al. in the attempt to alleviate this issue. The focus of this study

is to determine the precision and reproducibility of the software. Ten dental casts were used

in this study to produce an impression on wax sheets which were then photographed and

analysed with the software. The results showed that the software is precise in measuring

dental parameters from impressions on wax sheets.

Keywords: BitePrint Software, Bite mark analysis, Forensic odontology

INTRODUCTION

Forensic dentistry is the application of dental knowledge to legal investigations.1 It is known

amongst forensic odontologists that bite mark analysis is not reliable in providing accurate

identification of the source as it assumes that dentition is unique to individuals and that the

unique characteristics can be transferred and recorded on to the skin of the victims.2 Despite

not having any scientific research to back up bite mark analysis, bite mark evidence is still

being accepted in court.3 The most common method used in bite mark analysis is the overlay

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tracing method, where the examiner traces the outline of the dentition onto an acetate sheet

and place it over the image of a bite mark retrieved from a victim. However, according to the

NAS and PCAST report, this method is highly subjective based on the examiner’s experience

and perception4,5 , and the results obtained cannot be replicated by others.6,7,8 This posed a

great issue for bite mark analysis. There are several cases in the United States of America,

where the defendant is convicted due to bite mark evidence, only to be acquitted years later

due to contradictory DNA evidence.9 The lack of validated rules, regulations and accreditation

body for bite mark evidence is a major issue.

A computer-based method for bite mark analysis is considered the gold standard amongst all

the other methods as it is not as subjective and the results produced are reproducible.10

However, as there were no rules implemented that examiners must use the computer-based

method to analyse bite marks, the typical hand tracing techniques were still being used in the

majority of studies done on bite mark analysis. Therefore, a standardised computerised

method for bite mark analysis must be developed to ensure that bite mark analysis is as

robust as other types of evidence that submitted in court.

BitePrint© was developed in 2017 by Ramos et al. The software is semi-automatic and able

to calculate and compute dental parameters based on images of the bite mark. It can analyse

both 2D and 3D images. The software uses the ABFO no.2 ruler as the coordinate system.

There is a need to validate the software as it was new and the only published article about it

was from the developers of the software.11 More studies must be done on it to determine its

suitability as the new standard method for bite mark analysis.

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The study aims to determine the precision and reproducibility of BitePrint© software in

analysing 2D images of bite marks formed on wax sheet.

MATERIALS AND METHOD

A total of ten dental casts in the form of plaster casts were used in this study, and only the

top mandible was chosen for each dental cast. These casts were obtained from Murdoch

University. Two wax sheets were placed in a 30oC water bath for 10 seconds and compressed

together to form a thickness of 3mm, which is the optimal depth for bite mark analysis. This

step was repeated for each dental cast. The wax sheets were then removed from the water

bath and placed in a heated oven at 45oC for 90 seconds to soften it. The top mandible of

each dental cast was placed on the wax sheet to create an impression. This was repeated four

times for each dental cast. A Nikon 5500 camera with a 60mm micro lens was mounted on a

standard tripod and used to photograph the wax sheets. The ABFO No. 2 ruler was placed on

the same plane as the wax sheet, aligned to prevent photography distortion.

The images were uploaded to the software for analysis. The software can measure several

dental parameters, distance to the arch, eccentricity, angular position and rotation. (Figure

1) The software used the ABFO ruler as the coordinate system. The tooth was labelled 1 to 4

from left to right. The mesiodistal length and buccolingual width were drawn for each tooth

and the software automatically adjust the initial ellipse of the tooth by comparing the colour

of the ellipse to the surrounding area. A semi-circumference was then automatically fit into

the tooth marks, and a point was placed between the central incisors. A line was then drawn

automatically from the point to the centre of the circumference. (Figure 2) The software then

automatically computed the dental parameters, and the values were saved. The results were

then exported to the Excel spreadsheet, and a two-way ANOVA without replication was done.

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The results obtained from the ANOVA was collated and the intraclass correlation coefficient

(ICC) and their confidence interval (CI) at 95% were calculated.

Figure 1: Dental parameters measured by the software. a) distance to the arch, b) angular

position, c) eccentricity, d) rotation. (Image obtained from 11)

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Figure 2: BitePrint© software automatically adjust the initial ellipse of each tooth and fit in a

semi-circumference and draw a line from centre of circumference to centre of the incisors.

RESULTS

Most of the ICC obtained were above 0.75, with only distance to the arch of tooth 1 and 4

and angular position of tooth 2 being below 0.75. Out of all the dental parameters measured,

the ICC for eccentricity and rotation was above 0.75 for all teeth, while the angular position

had an ICC of above 0.75 for 3 out of 4 teeth measured. Distance to the arch had an ICC of

above 0.75 for 2 out of the 4 teeth measured. (Table 1)

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Table 1: Intraclass correlation coefficient and confidence level at 95% of each dental

parameter for each tooth

Dental

Parameters

Tooth 1 Tooth 2 Tooth 3 Tooth 4

Distance to the

arch

0.411

0.847 0.987 0.014

0.0876 – 0.762

0.446 – 0.891 0.921 – 0.991 -0.0635 – 0.218

Angular position 0.978

0.288 0.971 0.967

0.944 – 0.994

0.00194 – 0.455 0.828 – 0.979 0.820 – 0.977

Eccentricity 0.849

0.942 0.793 0.951

0.465 – 0.900

0.715 – 0.960 0.336 – 0.847 0.740 – 0.965

Rotation 0.979

0.986 0.975 0.972

0.869 – 0.984

0.916 – 0.990 0.858 – 0.983 0.846 – 0.981

DISCUSSION

The new BitePrint© software was developed to address the major issue in bite mark analysis,

the lack of a standard platform for analysis. However, the software had not been validated to

ensure its reproducibility and precision in analysing bite marks. The results obtained proved

that the software could produce highly reproducible results, with only 3 out of 16

measurements provided an ICC of less than 0.75. Based on the results, the rotation showed

to be the most reproducible parameter, while the distance to the arch showed to be the least

reproducible. This does not correlate to what was found by Ramos et al. in 2017. They found

that the most reproducible result is angular position.11 This could be caused by the initial

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drawing of the initial ellipse by the examiner. This can be overcome or further clarified with

multiple observers. The results also showed that the software could identify bite marks that

have a depth of 3mm on a wax sheet. The advantage of using wax sheet over skin is that the

wax sheet does not distort. The skin is highly elastic and does not retain the shape of the bite

mark left behind by a dentition. The body also attempts to heal the bite mark, which may

result in distortion to the bite mark formed on the skin.12 Bite marks left on skin surface may

sometimes be less than 3mm deep as the body heals. The semi-automatic feature of the

software reduces the subjectivity and reproducibility issues of results obtained from bite

mark analysis using the traditional methods.

However, the main issue with this study is the creation of a bite mark is a 3D event, while the

analysis was done with 2D images. Transcribing a 3D event into 2D imaging is bound to create

distortions. Although the Johansen Bower method is applied in the software to account for

the distortion, this method is not universally accepted.13,14 The results could potentially be

better with using 3D image processing to render the bite mark for analysis. Several studies

have shown that using 3D imaging to record the dentition for analysis is more accurate as

compared to 2D imaging. However, it is time-consuming and expensive to render a dentition

in 3D.15,16,17

Another issue with this study is that the bite marks were created at a 90o angle. This is usually

not the case in real life scenario and bite can occur at any angle. Future study should consider

this and determine if the software can measure the bite mark precisely when the bite mark is

made from different angles.

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Despite the above limitations, the study still showed that BitePrint© software could identify

and measure the bite marks present on a wax sheet precisely. This reduces the subjectivity

nature and the examiner’s participation in bite mark analysis. However, it still requires the

examiner to input the initial ellipses and is not a fully automatic analysis.

CONCLUSION

Quantitative analysis is to be done before the court accepts any evidence. Bite mark analysis

is not exempted from this. BitePrint© software is developed to alleviate this issue. Although

this study had proven that the software is capable of reproducing results, further research is

required to validate the robustness of the software in analysing bite marks made at different

angles of impact and comparison to the questioned dentition.

REFERENCES

1. Forensic Odontology – The Forensics Library. [Internet] Aboutforensics.co.uk

2. Hale A. The admissibility of bitemark evidence. Southern Californian Law Review. 1978;

51(3): 309 – 334

3. Pretty I. The barriers to achieving an evidence base for bitemark analysis. Forensic Science

International. 2006;159:S110-S120.

4. The National Academy of Science. Strengthening forensic science in the United States: A

path forward. The National Academies Press, Washington D.C. 2009.

5. The President’s Council of Advisors on Science and Technology. Report to the president.

Forensic science in criminal courts: Ensuring scientific validity of feature – comparison

methods. 2016.

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6. Sweet D, Bowers CM. Accuracy of bite mark overlays: A comparison of five common

methods to produce exemplars from a suspect’s dentition. Journal of Forensic Sciences.

1998;43 (2):362 – 367

7. Santhosh SS, Jagannathan N. Bite marks in criminal investigation. Indian Journal of Forensic

Medicine & Toxicology. 2014.

8. Meng WT, Zhen FC, Asif MK, Rahmat RA, Nambiar PA. A comparative study between

xerographic, computer-assisted overlay generation and animated-superimposition methods

in bite mark analysis. Legal Medicine. 2016; 22, 42 – 48

9. Koen W, Bowers C. Forensic science reform. London: Academic Press; 2017; 137 – 165

10. Manaktala N, Pallam N, Boaz K, Natrajan S, Raj M, Lewis A. Computer–based method of

bite mark analysis: A benchmark in forensic dentistry?. Journal of Forensic Dental Sciences.

2016;8(1):32.

11. Ramos B, Torres J, Molina A, Martin-de-las-Heras S. A new method to geometrically

represent bite marks in human skin for comparison with the suspected dentition. Australian

Journal of Forensic Sciences. 2017;51(2):220-230

12. Sheasby DR, Macdonald DG. A forensic classification of distortion in human bite marks.

Forensic Science International. 2001; 122: 75 – 78.

13.Johansen RJ, Bowers CM. Digital analysis of bite mark evidence. Santa Barbara,

California: Forensic Imaging Services; 1999.

14. Johansen RJ, Bowers CM. Digital analysis of bite mark evidence using Adobe. Santa

Barbara, California: Forensic Imaging Services; 2000.

15.Blackwell SA, Taylor RV, Gordon I, Ogleby CL, Tanijiri T, Yoshino M, Donald MR, Clement J

G. 3-D imaging and quantitative comparison of human dentitions and simulated bite marks.

Int J Legal Med. 2007;121(1):9–17

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16.Thali MJ, Braun M, Markwalder ThH, Brueschweiler W, Zollinger U, Malik NJ, Yen K, Dirnh

ofer R. Bite mark documentation and analysis: 3D/CAD supported photogrammetry

approach. Forensic Sci Int. 2003;135:115–121. 10.1016/S0379-0738(03)00205-6

17. Flora G, Tuceryan M, Blitzer H Forensic bite mark identification using image processing

methods. Proceedings of the 2009 ACM Symposium on Applied Computing; 2009; New York:

ACM; 903–907.