Biometric Systems
A.Y. 2023/2024
Learning objectives
The objective of the course is to provide the knowledge and the capability to correctly apply the main techniques, devices, and algorithms for biometric recognition, focusing on the biometric traits adopted in main computer security and commercial applications.
Expected learning outcomes
At the end of the course, the student will have acquired the ability to understand the structure and the main functionality of the biometric systems, the estimation of the performances, and to be effective in their design and implementation.
Lesson period: Second four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
Second four month period
Course syllabus
The course discusses the structure and the design of different biometric systems based on fingerprints, iris, face, voice, hand geometry, palm print, and other biometric traits. In the second part, the course presents the design of multimodal biometric systems (systems which exploit the combinations of different biometric traits) and the privacy and security issues related to the application of the biometric systems.
Main topics covered:
· Introduction to biometrics;
· Terms, structure and features of a biometric system;
· Biometric systems based on fingerprints;
· Biometric systems based on iris patterns;
· Biometric systems based on face images;
· Behavioral biometric and DNA;
· Multimodal biometric systems;
· Design, evaluation and comparison of the biometric systems;
· Privacy and security issues.
A detailed list of topics of each lesson is presented and regularly updated on the course site.
Main topics covered:
· Introduction to biometrics;
· Terms, structure and features of a biometric system;
· Biometric systems based on fingerprints;
· Biometric systems based on iris patterns;
· Biometric systems based on face images;
· Behavioral biometric and DNA;
· Multimodal biometric systems;
· Design, evaluation and comparison of the biometric systems;
· Privacy and security issues.
A detailed list of topics of each lesson is presented and regularly updated on the course site.
Prerequisites for admission
None
Teaching methods
Frontal lessons
Teaching Resources
Course site: http://fscottisb.ariel.ctu.unimi.it/
Slides of the single lesson published on the course site
Handouts published on the course site
Books (optional): Biometrics: Personal Identification in Networked Society, Anil K Jain, Sharath Pankanti, Ruud Bolle, Springer.
Slides of the single lesson published on the course site
Handouts published on the course site
Books (optional): Biometrics: Personal Identification in Networked Society, Anil K Jain, Sharath Pankanti, Ruud Bolle, Springer.
Assessment methods and Criteria
The exam is composed by a single compulsory closed book test to be filled using the PCs in the laboratory requiring the solution of exercises and questions about the application and the design of biometric systems, and multiple choice questions to verify the knowledge of theoretical notions of the same type and difficulty of the cases proposed and discussed during the curse. The duration of the exam is about 1 hour. The grade is expressed in thirtieths. The results of the written tests will be communicated through the official e-mail account.
Professor(s)
Reception:
By appointment (via email)
Computer Science Department, Via Celoria 18 - 20133 Milano (MI), Italy