For educational purpose

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

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

12. FINGER PRINT RECOGNITION
 Global features
 Local features

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

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
Pre
processing
Feature-
extraction
Identification
Verification
Stored
templates
Uniform
distribution
Reject
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
 www.ddl.ision.co.uk
 www.zdnetindia.com/techzone/resources
 www.biodata.com.au