Biometrics

1. BIOMETRICS
Unit I

2. BIOMETRICS
 Forget passwords ...
 Forget pin numbers ...
 Forget all your security concerns ...
Replace keys
with key less

4.  In forensic- criminal identification and
prison security
 Electronic commerce and electronic
banking
 High level security
 User convenience

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

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

7.  Reliable personal recognition schemes to
either confirm or determine the identity of
an individual requesting their services.
 Purpose:
 To ensure genuity of an individual

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

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

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

11. BIOMETRIC SYSTEM

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

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

15. FINGER PRINT RECOGNITION
 Global features
 Local features

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

18. BASIC RIDGE PATTERNS
 Loop
 Arch
 Whorl

19. LOOP, ARCH AND WHORL

20. STAGES
 Fingerprint Scanning
 Fingerprint Matching
 Identification

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

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

23. IMAGE ACQUISITON

24. MINUTIA MATCHING

25. BRIDGE CODE

26. SPUR CODE

27. PROCESS

28. PROCESS

29. FINGERPRINT PC LOCK

30. FINGERPRINT DOOR LOCK

31. IRIS RECOGINITION

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

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

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

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

36. IRIS SCAN IMAGE

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

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

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

40. AVIATION – IRIS DEVICES

41. 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

42. 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

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

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

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

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

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