# CPE407 - Biometrics

CPE 407: BIOMETRICS
CATALOG DATA
Fundamentals of Biometric Science and Technology with a balance between the
basic theoretical background (probability theory, statistics, pattern recognition) and
practical applications.
COREQUISITES AND PREREQUISITES
Pre-req: Math 431 or CpE 260 with a grade of C or better. Advanced Standing
required.
TEXTBOOK
1. Introductory engineering statistics by S.S. Wilks, TA 340 G8 1982 (suggested)
2. Introduction to Pattern Recognition by Menahem Friedman, Abraham
Kandel, TK 7882 P3 F75, 1999 (suggested)
3. Pattern Recognition by Bow, 2008 (suggested)
4. Second Generation Biometrics: the Ethical, Legal and Social Context, Mordini,
Emilio, Springer 2012
COORDINATORS:
Dr. Shahram Latifi, Dr. Yingtao Jiang
TOPICS:
 Elements of Probability
 Important Discrete Distributions
 The Normal Distribution
 Basic Concepts in Pattern Recognition
 Classifiers
 Decision Functions
 Classification by Distance Functions and Clustering
 Types of Biometrics
 Finger print recognition
 Facial recognition
 Voice recognition
 Iris scanning
 Retina scanning
 Signature recognition and keystroke dynamics
 Vein pattern
 DNA
 Ear
 Gait
 Multimodal Biometrics
COURSE OUTCOMES (ABET course outcomes) [UULO course outcomes]:
Upon completion of this course, students should be able to:
1. Understand the concepts of Probability, Continuous and Discrete Distribution
(1.1,1.2) [1,2]
2. Understand Fundamentals of Statistics, Hypotheses, Normal Distribution
(1.1,1.2) [1,2]
3. Become familiar with fundamentals of Pattern Recognition (1.1,1.2, 1.4) [1,2]
4. Understand basic classification algorithms (1.3,1.4)[1,2]
5. Understand different types of Biometrics (1.4,1.6,1.8)[4,5]
6. Become familiar with Multimodal Biometrics [4,5]
COMPUTER USAGE:
MATLAB
CLASS SCHEDULE:
Lecture 3 hours per week