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Cyber Security
TU DelftTU EindhovenUniversity of TwenteWageningen University
Cyber Security


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4TU.CybSec Syllabus Introduction to Biometrics (Bio)

Credits: 5EC

Synopsis: Recognition of individuals based on physiological characteristics, such as the face, the iris or fingerprint, and behavioral traits, such as gait, is an interesting research domain, combining image and signal processing, statistics and probability theory, computer vision, deep learning, and machine learning. Biometric methods aim at the recognition of individuals in physical or logical access control application and in law enforcement and thus provide an efficient and convenient alternative to knowledge-based or token-based security systems.

The course covers applications, biometric systems and their performance, the most important modalities in today's biometric systems: fingerprint, iris, and face, classification theory, presentation attack detection, privacy, ethics, and forensic biometrics.

Aim: The goal of the course is to develop:

Learning outcomes: These are reflected in the aims described above.

Lecturers: Dr Chris Zeinstra, Dr Luuk Spreeuwers, and Prof Dr Didier Meuwly.

Examination: A few compulsory (group) assignments and a final written exam (closed-book).

Core text: Various papers from the literature