1. BIOMETRICS By Lt Cdr V Pravin 05IT6019

2. BIOMETRICS  Forget passwords...  Forget pin numbers...  Forget all your security concerns...

3. BIOMETRICS  Introduction  General system  Finger Print  Iris  Performance & Application  Conclusion

4. WHAT IS BIOMETRICS?  Automated method  Pattern recognition system  Specific physiological or behavioral characteristics

5. WHY USE IT?  Traditional methods involving passwords and PIN numbers  Biometrics highest level of security

6. CHARACTERISTICS USED Fingerprints Fingerprints Voiceprints Voiceprints Facial features Facial features Writing patterns Writing patterns Iris patterns Iris patterns Hand geometry Hand geometry

7. BIOMETRIC SYSTEM  Data Collection  Transmission  Signal Processing  Data Storage  Decision

8. BIOMETRIC SYSTEM

10. The hardware captures the salient human characteristic The software interprets the resulting data and determines acceptability. HOW IT WORKS HOW IT WORKS

11. FINGER PRINT  Oldest form of Biometrics  Highly Reliable  Uses distinctive features of fingers

12. FINGERPRINT  Finger-scan biometrics is based on the distinctive characteristics of the human fingerprint  A fingerprint image is read from a capture device  Features are extracted from the image  A template is created for comparison

13. FINGER PRINT RECOGNITION  Global features  Local features

14.  Pattern Area  Core Point  Delta  Line types  Ridge Count  Ridge Patterns GLOBAL FEATURES

16. BASIC RIDGE PATTERNS  Loop  Arch  Whorl

17. LOOP, ARCH AND WHORL

18. STAGES   Fingerprint Scanning   Fingerprint Matching   Identification

19. FINGERPRINT SCANNING  It’s the acquisition and recognition of a person’s fingerprint characteristics for identification purposes

20. IMAGE CAPTURE  Optical  Thermal  Capacitance  Ultra Sound

21. IMAGE ACQUISITON

22. MINUTIA MATCHING

23. BRIDGE CODE

24. SPUR CODE

25. PROCESS

26. PROCESS

27. FINGERPRINT PC LOCK

28. FINGERPRINT DOOR LOCK

29. IRIS RECOGINITION

30. IRIS RECOGNITION Pattern recognition technique Pattern recognition technique Identification by mathematical analysis of the random patterns. Identification by mathematical analysis of the random patterns. Based upon the qualities of the Iris Based upon the qualities of the Iris

31. Iris is a protected internal organ whose random texture is stable throughout life Iris is a protected internal organ whose random texture is stable throughout life

32. IRIS PROPERTIES High degree of Randomness No two Iris are alike Stable in a persons life Doesn't vary with changes

33. IRIS SCAN  Camera at close proximity  Captures photograph  Uses Infra red light to illuminate  High resolution photograph

34. IRIS SCAN IMAGE

35. IRIS CODE  Localization of inner and outer boundaries  Pattern of 512 bytes  Complete and Compact description  More complete than features of DNA

36. IRIS SYTEM Pre processing Feature- extraction Identification Verification Stored templates Uniform distribution Reject Accept Iris scan image capture Iris localization Iris code comparison

37. IRIS RECOGNITION  Database of millions of records  Iris code generated is compared  Searching algorithm based on Properties of Iris  Order of a few seconds

38. AVIATION – IRIS DEVICES

39. BIOMETRIC PERFORMANCE FAR The FAR is the chance that someone other than you is granted access to your account. The FAR is the chance that someone other than you is granted access to your account. Low false acceptance rate is most important when security is the priority Low false acceptance rate is most important when security is the priority

40. BIOMETRIC PERFORMANCE FRR The FRR is the probability that are not authenticated to access your account. The FRR is the probability that are not authenticated to access your account. A low FRR is required when convenience is the important factor A low FRR is required when convenience is the important factor

41. FINGERPRINT PERFORMANCE  FAR - As low as 1 in 1,000,00  FRR –around 4%

42. IRIS PERFORMANCE  FAR - As low as 1 in 1,000,000  FRR –around 2%

43. APPLICATIONS  Criminal identification  Prison security  ATM  Aviation security  Border crossing controls  Database access

44. SOME BIOMETRICS STILL IN DEVELOPMENT  Scent  Ear Shape  Finger nail bed  Facial 3D

45. REFERENCES www.biometix.com www.biometix.com www.biomet.org www.biomet.org www.owlinvestigation.com www.owlinvestigation.com www.ddl.ision.co.uk www.ddl.ision.co.uk www.zdnetindia.com/techzone/resources www.zdnetindia.com/techzone/resources www.biodata.com.au www.biodata.com.au