biometric security

1. 1
THE UNIVERSITY OF DODOMA
COLLEGE OF INFORMATICS AND
VIRTUAL EDUCATION
DEPARTMENT OF CSE
IA 314: Biometric Security
Prerequisites:
Cryptograph, Information Security, Programming,
DBMS.

2. 2
IA 314
• Instructor: Dr. Noe Elisa (Lecturer);
• Office: BG13;
• Lecture Hours: Friday 08:00-10:00 LRB005B;
• Tutorial Hours: ;
• Practical Hours: ;
• Consultation: Thursday 14:00am-16:00 pm.

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Text Books and References
Key References:
• John Berger: “Biometrics for Network Security”, 1st
Edition, Prentice Hall, 2004.
• Jain, A.K., Ross, A., Nandakumar, K. Introduction to
Biometrics. 2nd Edition 2011
• Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.,
Handbook of Fingerprint Recognition. Second edition
2009
• Burge, M.J., Bowyer, K., Handbook of Iris Recognition.
Edition 2013 Marcel, S., Nixon, M.S., Li, S.Z., Handbook
of Biometric Anti-Spoofing: Trusted

4. 4
Grading
• Assignments 10 %
• Midterm 1 15 % (7th week)
• Midterm 2 15 % (12th week)
• Final Exam 60 % (depends on UE timetable)

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Grading Policies
• Policy on missed midterm:
– no make-up exam
• Lateness policy:
– Late assignments are penalized up to 5% per
day.
• All assignments are to be your own work.

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Course Description
• This course covers the basic concepts of biometrics,
biometric security, current major biometric technologies, and
analyzes specific case studies from technical, privacy, and
social impact viewpoints.

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Topics:
• Notion of biometrics
• Fingerprint recognition
• Iris recognition
• Face recognition
• Recognition of handwritten signatures
• Palm print recognition
• Retina biometric
• Voice recognition
• Other, selected biometric methods - Ear-biometrics, Hand
shape, key stroke, DNA, and Gait Biometrics
• Security of biometrics: attack detection
• From biometric methods to biometric systems
• Multi biometrics and multi factor biometrics

8. How are people identified?
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9. Person Identification
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10. Automatic Identification
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11. Problems with Possession- or
Knowledge-based Approaches
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12. Identification Problems
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13. What are Biometrics?
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14. Why Biometrics
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15. Requirements for an
Ideal Biometric Identifier
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16. Identifiable Biometric
Characteristics
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17. Biometrics is Not New!!
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-French criminologist
Automated Fingerprint Identification System

18. Biometrics
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19. Comparison of Biometric
Techniques
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20. Key Biometric Terms and
Process
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21. Key Biometric Terms and
Process
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22. Using Biometrics
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23. Verification versus Identification
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24. Identification versus
Verification
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25. The two stages of a biometric
system
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26. Discussion: Verification and
Identification
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27. Discussion: Verification and
Identification
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28. When are verification and
identification appropriate?
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29. When are verification and
identification appropriate?
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30. Different Biometrics
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31. Different Biometrics
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32. Behavioral vs Physical Traits
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33. Fingerprints
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34. Fingerprint Features
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35. Iris Recognition: Eye
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36. Iris Code
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37. Retina
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38. Face Recognition: Correlation
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39. Face Recognition: 3D
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40. Hand
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41. Palm
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42. Vein
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43. Ear
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44. Biometric Applications
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45. Biometric Applications
• Access control systems in the airports, Fingerprint
System at Gas Stations and Border Crossings
• Video Surveillance (On-line or off-line)
• Using Iris Scans to Unlock Hotel Rooms
• passports can embedded contactless “smart-card”
chip that stores personal information and a
biometric template. Two problems: reliability and
privacy
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46. Biometrics for Personalization
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47. Conclusion
• Biometrics has emerged as a specialized field in
criminal forensics, public safety surveillance, user
authentication and identification.
• Expansion of biometric modalities range from
fingerprint, face and other traits to multimodal
biometric traits.
• Next lecture on key terms such as Template, plus
Fingerprint Recognition
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