Deep Learning in Biometrics - November 2020

Length: 10 hours - 2 cfu

Abstract

The course aims at presenting biometric recognition approaches based on recent deep learning techniques. In traditional biometric systems, the designer needs to develop algorithms to extract a set of discriminative features from data. Deep learning approaches learn sets of discriminative features directly from multidimensional signals. The course presents biometric systems from a technological point of view and provides an excursus of deep learning approaches, including: Convolutional Neural Networks, Autoencoders, and Deep Belief Neural Networks.

Outline: 

1) Biometric systems;

2) Deep learning; 

3) Biometric systems based on deep learning techniques;

4) Design and implementation of biometric systems based on deep learning techniques.

Lecturer:

Dr. Ruggero Donida Labati- Dipartimento di Informatica

Assessor:

Dr. Ruggero Donida Labati- Dipartimento di Informatica