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THE UNIVERSITY OF DODOMA
COLLEGE OF INFORMATICS AND
VIRTUAL EDUCATION
DEPARTMENT OF CSE
IA 314: Biometric Security
Prerequisites:
Cryptograph, Information Security, Programming,
DBMS.
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.
3
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
Grading
• Assignments 10 %
• Midterm 1 15 % (7th week)
• Midterm 2 15 % (12th week)
• Final Exam 60 % (depends on UE timetable)
5
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.
6
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.
7
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
How are people identified?
8
Person Identification
9
Automatic Identification
10
Problems with Possession- or
Knowledge-based Approaches
11
Identification Problems
12
What are Biometrics?
13
Why Biometrics
14
Requirements for an
Ideal Biometric Identifier
15
Identifiable Biometric
Characteristics
16
Biometrics is Not New!!
17
-French criminologist
Automated Fingerprint Identification System
Biometrics
18
Comparison of Biometric
Techniques
19
Key Biometric Terms and
Process
20
Key Biometric Terms and
Process
21
Using Biometrics
22
Verification versus Identification
23
Identification versus
Verification
24
The two stages of a biometric
system
25
Discussion: Verification and
Identification
26
Discussion: Verification and
Identification
27
When are verification and
identification appropriate?
28
When are verification and
identification appropriate?
29
Different Biometrics
30
Different Biometrics
31
Behavioral vs Physical Traits
32
Fingerprints
33
Fingerprint Features
34
Iris Recognition: Eye
35
Iris Code
36
Retina
37
Face Recognition: Correlation
38
Face Recognition: 3D
39
Hand
40
Palm
41
Vein
42
Ear
43
Biometric Applications
44
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
45
Biometrics for Personalization
46
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
47
48

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Lecture 1.ppt