1. Biometrics Seminar Report on Submitted by : Shikha Bundiwale EE 4 th year (0903EE081050) Submitted to: Lect. Rupali mam EE DEPARTMENT

2. Content Content 1.INTRODUCTION 2.A LITTLE BIT OF HISTORY 3.COUNTRIES APPLYING BIOMETRICS 4.BIOMETRICS DEVICES AND SYSTEM 5.BIOMETRICS PASSPORT 6.APPLICATION 7.ADVANTAGES & DISADVANTAGES 8.EXPECTATION 9.FUTURE SCOPE

3. INTRODUCTION TO BIOMETRICS INTRODUCTION TO BIOMETRICS “ BIOMETRICS” Science devoted to identify persons by automatic means taking as input biological and/or behavioral characteristics of a human being. Human characteristics which is used in biometrics :-  Universality  Performance  Uniqueness  Permanence  Collectivity  Acceptability

4. BIOMETRICS HISTORY BIOMETRICS HISTORY 1871 :- Adolphe Quetlet,Belgain mathematician and astronomer made a contribution to the modern use of biometrics with his treatise. 1871 :- Adolphe Quetlet,Belgain mathematician and astronomer made a contribution to the modern use of biometrics with his treatise. 1882:-Adolphe Bertillon,frenh law of enforcement officer Develop a system to identify criminals. 1882:-Adolphe Bertillon,frenh law of enforcement officer Develop a system to identify criminals. 1888:-Jaun vucetich,Argentinean police officer was the 1 st to use dactyloscopy. 1888:-Jaun vucetich,Argentinean police officer was the 1 st to use dactyloscopy. Richard Edward Henry of Scotland yard, developed finger print system. Richard Edward Henry of Scotland yard, developed finger print system.

5. COUNTRIES APPLYING BIOMETRICS COUNTRIES APPLYING BIOMETRICS  United State  Germany  Brazil  Iraq  India  New Zealand  Australia  Canada  Israel

6. BIOMETRICS DEVICE AND SYSTEM Finger Print Scanners:- Finger Print Scanners:- ARCH RIGHT LOOP WHROL TRENTED ARCH

7. FINGERPRINT RECOGNITION:- Hand Geometry:-  91.65% Maximum recognition  4.18% Error Rate Palm Geometry:-  86.19% Maximum recognition  7.65% error Rate Finger Geometry:-  97.25% Maximum recognition  1.74% Error Rate

8. HAND GEOMETRY Hand Geometry:- Hand Geometry:-  Overall Hand and Finger Width  Distance Between joints  Bone Structure Primarily For Access Control:- Primarily For Access Control:-  Machine Rooms  Olympics Reasonably Robust System Reasonably Robust System But: But:  Best for 1to1 Verification

9. IRIS RECOGNTION  Iris is the annular portion between the dark pupil and white sclera.  It has got a rich texture information which could be exploited for a biometric recognition system exploited for a biometric recognition system

10. WHY IRIS ??  Its error rate is extremely low.  Iris a permanent biometric.  User acceptability is reasonable.  Real time biometric verification.  Less susceptible to spoofing.

11. VIOCE RECOGNTION  Distinctive w.r.t. to Vocal Chords, Vocal Tract, palate.  Works Over The telephone.  Non –Invasive ( can be used covertly)  Most system have Audio Hardware.  But:-  Background Noise. (e.g. airplanes)  Tapes Recording May be Used.  Identical twins Sound Alike.

12. FACE RECOGNITION Used in Many ID Document. Used in Many ID Document. Can be Applied Covertly. Can be Applied Covertly. But: But: Physiologic Changes Due to Growth And Aging. Physiologic Changes Due to Growth And Aging. Can be Altered By Surgery. Can be Altered By Surgery. Facial Hair, Hats….. Facial Hair, Hats…..

13. BIOMETRIC PASSPORT  It is known as E-Passport.  It uses contact less smart card technology.  To store biometric data on the contact less chip, it includes minimum of 32 kilobytes of Rom storage memory.  USA passport card are not Biometric Passport because it doesn't follow ICAO’S DOC 9303.

14. APPLICATION Health Care Health Care In Military In Military Telephony and other Domains Telephony and other Domains People with disabilities People with disabilities In vehicles for security In vehicles for security In Schools In Schools To find out the Criminal/terrorists To find out the Criminal/terrorists In intelligent Robotic In intelligent Robotic

15. ADVANTAGE To lower errors due to fatigue or environmental change. To lower errors due to fatigue or environmental change. Identifying a user in non presential service. Identifying a user in non presential service. It provide security. It provide security. Eliminate the security hole of pins and password. Eliminate the security hole of pins and password. Allowing the greater amount of user's, the excess to EID service. Allowing the greater amount of user's, the excess to EID service. It is comfort for user’s. It is comfort for user’s.

16. EXPECTATION  Known limitations: Lighting and angle can affect performance. Lighting and angle can affect performance. Biometric solutions are close to 100%, but not 100%, there Biometric solutions are close to 100%, but not 100%, there could still be false acceptance and false rejection. could still be false acceptance and false rejection.

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