1. BIOMETRICS FOR RECOGNITION

2. Presentation Outlines  Traditional methods of security  Need for biometrics  Biometrics recognition techniques  How biometrics work  Applications

3. 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 ?

4.  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

5. Physical biometrics:  Fingerprint  Facial recognition/face location  Hand geometry  Iris scan  Retinal scan  Vascular patterns

6. Behavioral biometrics:  Speaker/voicerecognition: Analyzing vocal behavior  Signature/handwriting: Analyzing signature dynamics  Keystroke/patterning: Measuring the time spacing of typed words

7.  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).

9.  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.

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

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

12. Steps to Facial Recognition 1.Capture image 2. Find face in image 3. Extract features (store template) 4. Compare templates 5. Declare matches

13. 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 a sensor,

14. Keystroke Dynamics:  Keystroke dynamics is an automated method of examining an individual’s keystrokes on a keyboard.  This technology examines such dynamics as speed and pressure, the total time taken to type particular words, and the time elapsed between hitting certain keys.

15.  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

16. 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.