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Page 1: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

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Materials Processing¬ International Journal of Mechanical Handling and

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Technologies« International Journal of Digital Electronics« International Journal of Digital Communication and Analog

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Article 2

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International Journal of

Image Processing & Pattern Recognition

Jan – Jun 2016

IJIPPR

www.journalspub.com

Page 2: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

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Page 3: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

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Page 4: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

International Journal of Image

Processing and Pattern Recognition

International Journal of International Journal of Image Processing and Pattern Recognition is a

comprehensive journal that covers all the topics of image processing and recognition. All articles that are

included in the journal are peer-reviewed and follow stringent guidelines before publishing. From image

analysis to quadratic discriminate analysis all the topics fall under the scope and the focus of this journal.

Focus and Scope of the Journal! Image analysis! Image understanding! Digital image processing! Text compression! Still image compression! Video image compression! Feature extraction! Pattern recognition! Multi-scale signal analysis! Hidden markov models! Anisotropic diffusion! Partial differential equations! Self-organizing maps! Linear discriminate analysis! Quadratic discriminate analysis

International Journal of Image Processing and Pattern Recognition is published twice a year (bi-annual) in

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Page 5: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

PUBLICATION MANAGEMENT TEAM

INTERNAL MEMBERS

Associate Manager

ChairmanMr. Puneet Mehrotra

Managing Director,JournalsPub,

New Delhi

Hidam Renubala

Ankita Singh

Akanksha Marwah

Deepika Bhadauria

Commissioning Editors

Priyanka Garg

Chhavi Goel

Shrawani Verma

Page 6: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

EDITORIAL BOARD MEMBERS

Dr. Xiaojun Chen chenAssociate professor, Shanghai Jiao Tong

University (SJTU), China

Dr. Mansaf AlamDepartment of Computer Science, Jamia Millia

Islamia, New Delhi, India

Dr. Debnath BhattacharyyaDept. of Computer Application, RCC Institute of

Information Technology, Kolkata, India.

Dr. Hemanta Kumar BaruahVice-Chancellor, Bodoland University

Kokrajhar (Assam), India

Dr. Kiran SreeProfessor in the department of CSE, NBKRIST,

India

Dr. Tripty SinghAmrita School of Engg, Bangalore,

India

Dr. A DevendranAssociate Professor in Dr. M.G.R. Educational

& Research Institute University (Deemed) Madurvoyal, Chennai, India

Dr. C JayakumariAssociate Professor, Department of Computer

Application, SSN College of Engineering, Chennai, India

Dr. Sunil KumarDepartment of Computer Science & Engineering College of Engineering and Technology, Mody

University of Science and Technology, Lakshmangarh (Rajasthan), India

Dr. Sasmita MishraAssociate Professor Department of Comp. Sc.

& Applications IGIT, Sarang Talcher, Dhenkanal, Orissa,

India

Dr. Manish M KayasthUCCC & SPBCBA & Udhna Academy College

of Computer Application and IT, India

Bikram BallavAssistant Professor, BPUT, Bhubaneswar,

India

Ziyan WuResearch Scientist, Vision Solutions and

Technologies, Siemens Corporate Research, Princeton (NJ), U.S.

Dr. Sanjeev Kumar SinghAssociate Professor, Department of

Mathematics, Union Christian College, Ri-Bhoi, Meghalaya, India

Mr. Bhaskar MandalDept. of Computer Science and EngineeringNational Institute of Technology, Jamshedpur

(JH), India

Prof Saurabh Rai Dhirendra Prasad DKTE Society's Textile and Engineering

Institute, Ichalkaranji, India

Mr. S SivakumarPeriyar University, Salem, India

Mr. Saptarshi RoyDepartment of Electrical Engineering, NIT

Warangal, India, India

Kalyan Kumar JenaDept. of CSEA, IGIT, Sarang, Odisha, India,

Safar Irandoust Assistant Professor at University of Tabriz

Page 7: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

EDITORIAL BOARD MEMBERS

Shivkant KaushikAssistant Professor, Jaipur Engineering College,

India

Avatharam GanivadaVisiting Scientist, Indian Statistical Institute,

Kolkata, India

Dr. Pokkuluri Kiran Sree Professor, Shri Vishnu Engineering College for

Women, India

Mr. Kundan Lal Verma DDU Gorakhpur University, Gorakhpur,

Uttar Pradesh, India

Page 8: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

From the Editor's Desk

Dear Readers,

We would like to present, with great pleasure, the inaugural volume of a new scholarly

journal, International Journal of Image Processing and Pattern Recognition. This journal

is part of the Computer Science and Engineering, and is devoted to the scope of present

Engineering issues, from theoretical aspects to application-dependent studies and the

validation of emerging technologies.

This new journal was planned and established to represent the growing needs of Image Processing and

Pattern Recognition as an emerging and increasingly vital field, now widely recognized as an integral part

of scientific and technical investigations. Its mission is to become a voice of the Computer Science and

Engineering community, addressing researchers and practitioners in this area.

The core vision of International Journal of Image Processing and Pattern Recognition in JournalsPub is to

propagate novel awareness and know-how for the profit of mankind ranging from the academic and

professional research societies to industry practitioners in a range of topics in Computer Science and

Engineering in general. Journals Pub acts as a pathfinder for the scientific community to published their

papers at excellently, well-time & successfully.

International Journal of Image Processing and Pattern Recognition focuses on original high-quality

research in the realm of Image analysis, Image understanding, Digital image processing, Text compression

Still image compression, Video image compression, Feature extraction, Multi-scale signal analysis Hidden

markov models, Anisotropic diffusion, Quadratic discriminate analysis.

The Journal is intended as a forum for practitioners and researchers to share the techniques of Computer

Science and Engineering and solutions in the area.

Many scientists and researchers have contributed to the creation and the success of the Computer Science

and Engineering community. We are very thankful to everybody within that community who supported the

idea of creating an innovative platform. We are certain that this very first issue will be followed by many

others, reporting new developments in the field of Computer Science and Engineering.

This issue would not have been possible without the great support of the Editorial Board members, and we

would like to express our sincere thanks to all of them. We would also like to express our gratitude to the

editorial staff of JournalsPub, who supported us at every stage of the project.

It is our hope that this fine collection of articles will be a valuable resource for Computer Science and

Engineering readers and will stimulate further research into the vibrant area of Computer Science and

Engineering.

Puneet Mehrotra

Managing Director

Page 9: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

1. A Sequence Structure for Image Change Detection Using Sensor Network N. Siranjeevi, B.M. Alaudeen 1

2. Fingerprint Image Enhancement Mayur S. Patil, Sandip S. Patil 6

3. Computer Application - Brain FingerprintingAvinash Chauhan 9

4. Functional Design for IndustriesKshitij Singh Raghav 12

5. Trade and Commerce Membership Facilitation for Industries and Proposed SystemKshitij Singh Raghav 14

Contents

Page 10: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

IJIPPR (2016) 1–5 © JournalsPub 2016. All Rights Reserved Page 1

International Journal of Image Processing and Pattern Recognition

Vol. 2: Issue 1

www.journalspub.com

A Sequence Structure for Image Change Detection Using

Sensor Network

N. Siranjeevi1*

, B.M. Alaudeen2

1Research Scholar, Periyar University, Salem

2Research Scholar, Manonmaniam Sundaranar University, Tirunelveli

Abstract

Change detection in pictures is of nice interest due to its connectedness in several

applications like video police work. This article work presents the underlying theoretical

drawback of distributed image amendment detection employing a wireless detector network.

The planned system consisted of multiple image sensors, which created native choices

severally associate degreed send them to a foundation station through an additive white

Gaussian noise channel. The bottom station then created a world call and declared whether

or not a major amendment had occurred or not. This technique used four thresholds to sight

native and world changes within the space being monitored. 2 thresholds outlined at the

detector level helped the detector create a neighborhood call, and therefore the remaining 2

thresholds outlined at the system level helped the fusion center create a world call. Hence, by

victimization four thresholds, the performance of the planned model was ascertained to own

excellent fault tolerance.

Keywords: change detection, qualitative sensor network, thresholds

INTRODUCTION

The information obtained from remote

sensing satellites furnishes information

regarding the land at variable resolutions

and has been wide used for amendment

detection studies. There exist a large

variety of amendment detection

methodologies and techniques with the

continual emergence of recent ones. This

paper provides a review of element

primarily based and object-based

amendment detection techniques in

combination with the comparison of their

deserve and restrictions. The appearance

of very-high-resolution remotely detected

pictures, exponentially magnified image

knowledge volume and multiple sensors

demand the potential use of knowledge

mining techniques in wheel with object-

based strategies for amendment detection.

Amendment detection is outlined because

the method of characteristic variations

within the state of associate degree object

or development by observant it at totally

different times (Singh, 1989). The overall

goal of amendment detection in remote

sensing includes characteristic the

geographical location, recognizing and

quantifying the kind of changes and at last

assessing the accuracy results. Remote

sensing knowledge is employed for

amendment detection as a result of the

changes within the object of interest

modifies the spectral performance (like

reflection factor price or native texture)

which might be differentiated from

changes caused by different factors. the

weather that have an effect on amendment

detection victimization remote sensing

knowledge includes abstraction, spectral,

Page 11: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

IJIPPR (2016) 6–8 © JournalsPub 2016. All Rights Reserved Page 6

International Journal of Image Processing and Pattern Recognition Vol. 2: Issue 1

www.journalspub.com

Fingerprint Image Enhancement

Mayur S. Patil

*, Sandip S. Patil

Department of Computer Engineering, SSBT’s COET, Bambhori, Jalgaon, Maharashtra, India

Abstract

The most and widely used bio-identification system is fingerprint recognition system. It is

popular because of the fact that fingerprints of human are unique. The fingerprints of even

identical twins are different. The fingerprint of individual is unique and remains unchanged

over lifetime. A fingerprint can be seen as smoothly varying pattern formed by alternating

ridges and valleys on the surface of the finger. A ridge is defined as the single curved

segment, and valley is a region between the two adjacent ridges. The ridges are the dark lines

and valleys are the light lines in the fingerprint image pattern. Image Enhancement is the

process of improving the quality of a digitally stored image by manipulating the image. For

example to make an image lighter or darker, or to increase or decrease contrast. There are

various Techniques used for image enhancement, like Histogram Equalization Technique,

Fourier Transform, Gaussian Anisotropic Filtering, Rotational filter etc. The every

fingerprint has unique characteristics called minutiae, which is point where a arc track

finish, traverse or twigs off. In this work a novel method for Fingerprint recognition is

consider using a arrangement of Gabor Filters to enhance the image and Fast Fourier

Transform (FFT). With eight different orientations of rotational filter, features of the

fingerprint are extracting and are combined. In Frequency domain filtering, the fingerprint

image is subdivided into 32*32 small frames. Features are extracted from these frames in

frequency domain. Final enhanced fingerprint is obtained the results of Rotational filter and

frequency domain filtering. Binarization and Thinning follows next where the enhanced

fingerprint is converted to binary and the ridges are thinned to one pixel width. This helps in

extracting the Minutiae parts (ridge bifurcation and ridge endings). This project is

implemented using SCILAB/MATLAB.

Keywords: fingerprint image enhancement, FFT, minutia, rotational filter

INTRODUCTION Fingerprint is most widely used biometric

identification because it is unique for

every individual throughout the globe.

Fingerprint Image Enhancement’s goal is

to improve the quality of fingerprint image

and also to remove the noise.

FINGERPRINT RECOGNITION A fingerprint recognition system can be

used for both verification and

identification. In verification, the system

compares an input fingerprint to the

“enrolled” fingerprint of a specific user to

determine if they are from the same finger

(1:1 match). In identification, the system

compares an input fingerprint with the

prints of all enrolled users in the database

to determine if the person is already

known under a duplicate or false identity

(1:N match). Detecting multiple

enrollments, in which the same person

Page 12: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

IJIPP (2016) 9–11 © JournalsPub 2016. All Rights Reserved Page 9

International Journal of Image Processing and Pattern Recognition Vol. 2: Issue 1

www.journalspub.com

Computer Application – Brain Fingerprinting

Avinash Chauhan*

Department of Electrical and Electronics, Anand Engineering College, Agra, India

Abstract

Brain Fingerprinting is a new and innovative computer-based technique to know about the

enforcer of a crime accurately and scientifically by measuring brain-wave responses to

various crime-relevant words or pictures presented on a computer screen. It has proven

100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence

agency and for the US Navy, and tests on real-life situations including felony crimes like

Aarushi murder case in India. In Brain Fingerprinting it is basically based on finding that

the brain generates a unique brain wave pattern when a person encounters a familiar

stimulus, which can be done by using of functional magnetic resonance imaging in lie

detection derives from studies suggesting that persons asked to lie show different patterns of

brain activity than they do when being truthful. Issues related to the use of such evidence in

courts are discussed. So by this paper author would like to enlighten some facts about brain

fingerprinting and computer technology plays an important role in it.

Keywords: brain fingerprinting, proband, stimulus

INTRODUCTION

Brain Fingerprinting is an invention in the

field of criminology; it is a new lie

detector has been developed in the United

States of America.

This invention is supposed to be the best

lie detector available as on date and is said

to detect even all type of lie test by using

polygraph test (the conventional lie

detector test) with ease.

In this method brain waves are used which

detect whether the person subjected to the

test, remembers finer details of the crime.

These wave detector detect the information

by collaboration og computing technology.

Even if the person willingly suppresses the

necessary information, the brain wave is

sure to trap him, according to the experts,

who are very excited about the new kid on

the block.

It is a controversial proposed investigative

technique that measures recognition of

familiar stimuli by measuring electrical

brain wave responses to words, phrases, or

pictures that are presented on computer

screen. Brain fingerprinting was invented

by Lawrence Farwell. In the field of

criminology, a new lie detector has been

developed in the United States of America.

This is called “brain fingerprinting”.

METHOD AND PROCEDURE

The electroencephalography

(An electroencephalogram (EEG) is a

test that detects electrical activity in your

brain using small, flat metal discs

(electrodes) attached to your scalp. Your

brain cells communicate via electrical

impulses and are active all the time, even

when you're asleep. This activity shows up

as wavy lines on an EEG recording) from

several locations on the scalp can be

Page 13: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

IJIPPR (2016) 12–13© JournalsPub 2016. All Rights Reserved Page 12

International Journal of Image Processing and Pattern Recognition Vol. 2: Issue 1

www.journalspub.com

Functional Design for Industries

Kshitij Singh Raghav*

Department of Computer Science Application, Bhai Parmanand Institute of Business Studies, Guru Gobind

Singh Indraprastha University, New Delhi, India

Abstract

To be a part of any industry like Amazon, Flipkart, etc. We need to register ourself on their

portals. So, this paper demonstrates that how to generate these portals by any industry for

their customers.

Keywords: account activation, portal member, portal

BACKGROUND

How to Become a Member

To become a member of an organization,

you should login to respective

organization’s website and follow the

process.

Understand Benefits

The benefits of the organization’s

membership form are listed on the website

as well, so one should understand how the

membership benefits him/her and in what

way, and what are key factors of the form

that interests him to take up membership.[1]

The benefits are listed below

Interactive global

importers/exporters/wholesalers/distrib

utors manufacturers/agents – directory

Searchable by product and country

(connectivity to KOMPASS)

Access to industry’s/organization’s

(India) online weekly Indian Export

Bulletin containing the following

information

Trade enquiries received across the

globe

Information on

industry’s/organization’s trade

promotion activities, Trade Fairs and

Exhibitions organized by the

respective organization

Trade Statistics & Overseas Market

Trends

Tariffs & Taxes

Market Surveys

Country Profiles

Access to ITC Trade Map

Register and Fill the Form

A user can fill his organization details in

the form and upload documents of his/her

business for verification and other

important information such as contact

details. This allows other parties to contact

user if they require business from him,

also the organization will also be able to

contact him whenever required.[2]

Payments There are 2 scenarios in which user can

make payments.

(1) Payment before generation of reference

number.

(2) Payment after generation of reference

number.

Page 14: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

IJIPPR (2016) 14–17 © JournalsPub 2016. All Rights Reserved Page 14

International Journal of Image Processing and Pattern Recognition Vol. 2: Issue 1

www.journalspub.com

Trade and Commerce Membership Facilitation for Industries and

Proposed System

Kshitij Singh Raghav* Department of Computer Science Application, Bhai Parmanand Institute of Business Studies, Guru Gobind

Singh Indraprastha University, New Delhi, India

Abstract

The project TCMF is required to create an online web form for industries to enroll

themselves to register with the organization, which promotes the business of its registered

members. The organization is a government of India Enterprise, which verifies the

organization thoroughly before proceeding with its promotion. In addition to promotion it

also facilitates many other services to its registered members. The web form will be self-

explanatory to provide convenience to rural industries owners with common FAQ’s and

feedback to help them filling up the form easily. The form will contain some pre-options in its

attributes so to easily be marked and reduce the hassle of typing, but will also contain text

boxes wherever extra description might be required to store in association with the respective

industry. The membership form can also be filled by the organization online which contains

all the necessary information of the organization with facility to upload proofs of documents

required by respective organization to list them as their member.

Keywords: GUI, membership, organization, TCMF

INTRODUCTION

The objective of the project TCMF is to

provide convenience to people, i.e., to be

able to enroll the services and Trade

promotion through organization sitting

from anywhere in the world, a hassle free

service which takes less than 5 minutes to

register.

The membership form can be filled by the

organization online which contains all the

necessary information of the organization

with the facility to upload proofs of

documents required by organization to list

them as their member. The membership is

acquired after payment of fees (for 1 year)

to organization using Demand Draft only.

Organization will be provided a login

identification for accessing their services.

The information organization will also be

provided a separate website url. This will

help the small organization and industries

to promote their industries boost and

advertize their business through trade

within India and in other countries as well.

The project is based on building a web

Application form using ASP.net and

installing it on web server. The form will

be accessible through organization website

link.[1]

ADVANTAGES OF PROPOSED

SYSTEM

Very simple and easy to implement

Protection of data

ensure data accuracy

Administrator discretion and control

over the entire system

online facilities

Reduces manual data entry

Greater efficiency

Page 15: International Journal of Image Processing and Pattern Recognition vol 2 issue 1

Mechanical Engineering

Electronics and Telecommunication Chemical Engineering

Architecture

Office No-4, 1 Floor, CSC, Pocket-E,Mayur Vihar, Phase-2, New Delhi-110091, India

E-mail: [email protected]

¬ International Journal of Thermal Energy andApplications

¬ International Journal of Production Engineering¬ International Journal of Industrial Engineering

and Design¬ International Journal of Manufacturing and

Materials Processing¬ International Journal of Mechanical Handling and

Automation

« International Journal of Radio Frequency Design« International Journal of VLSI Design and Technology« International Journal of Embedded Systems and Emerging

Technologies« International Journal of Digital Electronics« International Journal of Digital Communication and Analog

Signals

« International Journal of Housing and Human SettlementPlanning

« International Journal of Architecture and InfrastructurePlanning

« International Journal of Rural and Regional PlanningDevelopment

« International Journal of Town Planning and Management

Applied Mechanics

5 more...

1 more...

2 more...2 more...

5 more...

Computer Science and Engineering « International Journal of Wireless Network Security« International Journal of Algorithms Design and Analysis« International Journal of Mobile Computing Devices« International Journal of Software Computing and Testing« International Journal of Data Structures and Algorithms

Nanotechnology« International Journal of Applied Nanotechnology« International Journal of Nanomaterials and Nanostructures« International Journals of Nanobiotechnology

« International Journal of Solid State Materials« International Journal of Optical Sciences

Physics

« International Journal of Renewable Energy and itsCommercialization

« International Journal of Environmental Chemistry« International Journal of Agrochemistry« International Journal of Prevention and Control of Industrial

Pollution

Civil Engineering« International Journal of Water Resources Engineering« International Journal of Concrete Technology« International Journal of Structural Engineering and Analysis« International Journal of Construction Engineering and

Planning

Electrical Engineering« International Journal of Analog Integrated Circuits« International Journal of Automatic Control System« International Journal of Electrical Machines & Drives« International Journal of Electrical Communication

Engineering« International Journal of Integrated Electronics Systems and

Circuits

Material Sciences and Engineering « International Journal of Energetic Materials« International Journal of Bionics and Bio-Materials« International Journal of Ceramics and Ceramic Technology« International Journal of Bio-Materials and Biomedical

Engineering

Chemistry « International Journal of Photochemistry« International Journal of Analytical and Applied Chemistry« International Journal of Green Chemistry« International Journal of Chemical and Molecular

Engineering

« International Journal of Electro Mechanics andMechanical Behaviour

« International Journal of Machine Design andManufacturing

« International Journal of Mechanical Dynamicsand Analysis

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