ECTS - Biometric Identification and Verification Systems

Biometric Identification and Verification Systems (CMPE571) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Biometric Identification and Verification Systems CMPE571 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce to students the several biometric identification and verification systems.
Course Learning Outcomes The students who succeeded in this course;
  • Discuss the general concepts about the biometry and biometric systems
  • Review the fingerprint-based identification systems and algorithms used for fingerprint recognition.
  • Describe face recognition systems and their applications
  • Discuss the iris-based and hand-geometry based identification systems.
  • Introduce the multimodal biometric systems and biometric databases
  • Discuss the international standards about the biometric systems
Course Content Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Biometrics Text Book, ch.1
2 Definitions of Identification and verfication, Error rate calculations Text Book, ch.1
3 Design of classifiers for biometric systems Text Book, ch.1
4 Fingerprint verification Text Book, ch.2
5 Face recognition Text Book, ch.3
6 Iris patterns Text Book, ch.4
7 Midterm --
8 Hand Geometry identification Text Book, ch.5, lecture notes
9 DNA based identifications Text Book, ch.5, lecture notes
10 Combined identifications systems Text Book, ch.6, lecture notes
11 Multimodal Biometrics Text Book, ch.6, lecture notes
12 Biometrics Standards Lecture notes
13 Biometric Databases. Lecture notes
14 Project presentations --
15 Review
16 Review


Course Book 1. “Introduction to Biometrics”, Anil K. Jain, Arun A. Ross, Karthhik Nandakumar, Springer, ISBN: 978-0-387-77325-4 , 2011.
Other Sources 2. “Biometric Systems: Technology, Design and Performance Evaluation, by James L. Wayman, Anil K. Jain, Davide Maltoni, and Dario Maio, 2004
3. Biometric Technologies and Verification Systems, by John R. Vacca, 2007

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 35
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyse and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Homework Assignments 3 5 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 125