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 Grading: Homework (15%), Test 1 (15%), Test 2 (15%), Term Paper (35%), Final (20%) COURSE PREPARER AND DATE OF PREPARATION: Professor Shahram Latifi, December 15, 2014