"Artificial Intelligence for Biometrics" Prof. Vincenzo Piuri (SECRYPT 2024)

Keynote Title: Artificial Intelligence for Biometrics
Keynote Lecturer: Vincenzo Piuri
Presented on: 08/07/2024, Dijon, France
Abstract: Biometrics concerns the study of automated methods for authenticating an individual or identifying her among many people by measuring one or more physical or behavioral traits of her, like fingerprint, face, iris, voice, and gait. Biometrics was originally used for critical applications, like access control for critical areas and services. Nowadays, the advancements in technology and biometric science allow for creating many more applications and become increasingly pervasive in our daily life. The use of biometrics in the real life often requires very complex signal and image processing and scene analysis, for example encompassing biometric feature extraction, tracking, liveness/anti-spoofing tests, facial expression recognition, and operation in less-constrained conditions. Artificial intelligence (including neural networks, deep learning networks, fuzzy logic, evolutionary computing, and multi-agent systems) have been proved to be extremely useful and effective in addressing all the above kinds of data processing, especially when is difficult to identify a traditional algorithmic approach due to the complexity of the problem. This keynote will review the domain of biometrics and discuss challenges and opportunities offered by artificial intelligence for effectively solving various problems in biometric applications.
Conference Website: secrypt.scitev...
Presented at the following Conference:
SECRYPT, 21st International Conference on Security and Cryptography