A SEMINAR ON

BIOMETRICS FOR RECOGNITION

Presented byv.chaithanyakrishnaB.Tech (CSE)08125757821

Presentation Outlines

Traditional methods of security

Need for biometrics

Biometrics recognition techniques

How biometrics work

Applications

• ATMs• Cellular phones• Smart cards• Desktop PCs• Workstations• Computer networks

PINs and passwords may be forgotten,

Token-based identification methods such as passports and driver’s licenses may be forged, stolen, or lost.

Why Biometrics ?

Biometrics refers to the automatic identification of a person based on his or her physiological or behavioral characteristics .

WHAT IS BIOMETRICS ?

• BIO-Physical or Behavioral

• METRICS-To measure characteristics

Physical biometrics:

Fingerprint Facial recognition/face location Hand geometry Iris scan Retinal scan Vascular patterns

Behavioral biometrics:

Speaker/voicerecognition: Analyzing vocal behaviorSignature/handwriting: Analyzing signature dynamics Keystroke/patterning: Measuring the time spacing of typed words

FINGERPRINT RECOGNITION

A live acquisition of a person’s fingerprint.

• Dots (very small ridges),• Space between two

temporarily divergent ridges),• Spurs (a notch protruding

from a ridge),• Bridges (small ridges joining

two longer adjacent ridges), crossovers (two ridges that cross each other).

Biometric sensor:-acquire images .

Preprocessing:-reference points extraction,contour spacing,binarization.

Feature extraction:-removal of noise,convert data into numeric feature template.

Matcher:- - Compare extraced template with previously enrolled templates. - Determine degree of similarity & output matching score.

Decision:-matching score compare with threshold.

Hand or finger geometry is an automated measurement of many dimensions of the hand and fingers.

Hand Geometry

Iris recognition

Iris scanning measures the iris pattern in the colored part of the eye,

Steps to Facial Recognition

1.Capture image

2. Find face in image

3. Extract features (store template)

4. Compare templates

5. Declare matches

Signature Verification : an automated method of measuring an individual’s signature. This technology examines speed,direction, and pressure of writing; the time that the stylus is in and out of contact with the “paper.

Speaker / Voice Recognition:Voice or speaker recognition uses vocal characteristics to identify individuals using a pass-phrase. A telephone or microphone can serve as asensor,

Keystroke Dynamics:

Keystroke dynamics is an automated method of examining an individual’s keystrokes on a keyboard.

This technology examines such dynamicsas speed and pressure, the total time taken to type particular words, and the time elapsed between hitting certain keys.

Prevent unauthorized access to ATMs, Cellular phones, Smart cards, Desktop PCs, Workstations, Computer network.Criminal identification,prison security.Electronic commerce,Electronic banking.In automobiles biometrics can replace keys with keyless entry devices.Airport security,voter cards,civilian applications.

APPLICATIONS

Conclusion:

Biometric is an emerging area with many opportunities for growth.

Possibly in the near future, you will not have to remember PINs and passwords and keys in your bags or pockets will be things of the past.

REFERENCES

Michael J. Potel,”IEEE paper on Graphics and Security: Exploring visual Biometrics”.

Bryan Lipinski,’’ Iris Recognition: Detecting the Iris ’’

J Daugman, How Iris Recognition Works, IEEE Conf. on ICIP, 2002.

International Biometric Group website, http://www.biometricgroup.com