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 Voiceprints Facial features
Writing patterns
Iris patterns
Hand geometry

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

8. BIOMETRIC SYSTEM

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

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

12. FINGER PRINT RECOGNITION
Global features
Local features

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

15. BASIC RIDGE PATTERNS
Loop
Arch
Whorl

16. LOOP, ARCH AND WHORL

17. STAGES
Fingerprint Scanning
Fingerprint Matching
Identification

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

19. IMAGE CAPTURE
Optical
Thermal
Capacitance
Ultra Sound

20. IMAGE ACQUISITON

21. MINUTIA MATCHING

22. BRIDGE CODE

23. SPUR CODE

24. PROCESS

25. PROCESS

26. FINGERPRINT PC LOCK

27. FINGERPRINT DOOR LOCK

28. IRIS RECOGINITION

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

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

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

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

33. IRIS SCAN IMAGE

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

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

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

37. AVIATION – IRIS DEVICES

38. BIOMETRIC PERFORMANCE
FAR
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

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

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

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

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

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

44. REFERENCES www.biometix.com www.biomet.org www.owlinvestigation.com