Deep learning in Biometrics - (from 29/10/2018 to 30/10/2018)

Length : 10 hours  - 2 cfu 

Abstract 

The course aims at presenting biometric recognition approaches based on recent deep learning techniques. In traditional pattern 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 and Assessor: Dr. Ruggero Donida Labati