Computer Science & Engineering Department

CS491Q/790Q SEM: Machine Learning

Fall 2005: Biometrics

  • Meets: MW 2:30 - 3:45 pm (109 FA)

  • Instructors: Dr. George Bebis and Dr. Ali Erol

  • Texts:

    BK1: R. Bolle et al.,Guide to Biometrics, Springer, 2004 (ISBN: 0-387-40089-3).
    BK2: D. Maltoni et al.,Handbook of Fingerprint Recognition, Springer, 2003 (ISBN: 0-387-95431-7).

  • Optional texts:

    • A.K. Jain, R. Bolle, and S. Pankanti (eds.), BIOMETRICS: Personal Identification in Networked societyKluwer Academic Publishers, 1998.

  • Useful links to Biometrics resources:

  • Course Description and Objectives

    The main objective of the course is to introduce you to the area of Biometrics. Biometrics refers to the identification of an individual based on his/her physiological characteristics, like a fingerprint, face, voice or behavior like handwriting or keystroke patterns. Because biometric characteristics are unique to each individual, they can be used to prevent theft of fraud. In addition, unlike a password or a PIN, a biometric cannot be lost, stolen, or recreated. This course is primarily intended for **highly motivated** students who are interested in working on the area of Biometrics. There are many problems in this area suitable for investigation by graduate students leading to a master thesis or dissertation.

    Course Outline (tentative)

  • Introduction to Biometrics (BK1, Chapter 1)
  • Authentication of Biometrics (BK1, Chapter 2)
  • Common and Other Biometrics (BK1, Chapters 3&4)
  • Basic System Errors (BK1, Chapter 5)
  • Identification System Errors (BK1, Chapter 6)
  • Performance Testing (BK1, Chapter 7)
  • Selecting Biometrics (BK1, Chapter 8)
  • Creating and Maintaining Databases (BK1, Chapter 9)
  • Large-Scale Applications (BK1, Chapter 10)
  • Integrating Information (BK1, Chapter 11)
  • Thwarting Attacks (BK1, Chapter 12)
  • APIs, Standards, and Databases (BK1, Chapter 13)
  • Biometric's Individuallity (BK1, Chapter 14)
  • What's next (BK1, Chapter 17)
  • Overview of Fingerprint Recognition (BK2, 1.6 - 1.20)
  • Fingerprint Sensing (BK2, Chapter 2)
  • Fingerprint Analysis and Representation (BK2, Chapter 3)
  • Fingerprint Matching (BK2, Chapter 4)
  • Fingerprint Classification and Indexing (BK2, Chapter 5)
  • Multimodal Biometric Systems (BK2, Chapter 7)
  • Fingerprint Individuality (BK2, Chapter 8)
  • Securing Fingerprint Systems (BK2, Chapter 9)
  • Paper presentations

    Course Requirements

    Each student would be expected to participate actively in the presentations of the course material during the semester. Presentations should be professional as if they were presented in a formal conference (i.e., slides, projector). The student who is responsible for presenting a subject on a specific day would be expected to be well prepared and have a good understanding of the material. Every other student would be expected to have read the same material and participate in class discussion. The course also requires that each student completes two project assignments. We will discuss with you possible project ideas but you are also encouraged to discuss with us your own project ideas. Each student would be required to turn in a report upon the completion of his/her project and possibly give a demo.



  • Project Assignments

    • Fingerprint Matching (Due on 11/7/2005)
    • Face Recognition (Due on 11/21/2005)
    • Multimodal Biometrics (Due on 12/12/2005)

    Department of Computer Science & Engineering, University of Nevada, Reno, NV 89557
    Page created and maintained by: Dr. George Bebis (