Pattern recognition and biometrics

Catalogue des cours de Télécom SudParis

Code

IMA 4511

Niveau

Graduate (M1)

Période

Spring (P2)

Domaine

Image

Langue d'enseignement

Anglais

Crédits ECTS

4

Heures programmées / Charge de travail

45 / 90

Responsable(s)

  • GARCIA Sonia

Département

- Electronique et Physique

Equipe pédagogique

  • DORIZZI Bernadette
  • GARCIA Sonia
  • PETROVSKA Dijana
  • EL YACOUBI Abdenaim

Objectif

Master the tools for pattern recognition and data classification
Knowledge of the specific techniques of the different biometric modalities in terms of the general tool adaptation to each of them
Be abble to implement a biometric system of identity verification

Contenu

First part : Basics of Pattern Recognition
Introduction
Bayes Classifier
The K Nearest Neighbor Rule
Hidden Markov Models
Principal Component Analysis, Discriminant Analysis

Second part : Application to Biometric Identity Verification
Face Recognition Techniques
On-line Signature Verification Techniques
Iris Recognition Techniques
Gait Recognition Techniques
Speaker verification Techniques

Prérequis

Notions of Statistics and Probability Theory (Course "Introduction aux statistiques")

Mots-clés

Biometrics, face recognition, on-line signature verification, iris recognition, gait recognition, speaker verification

Evaluation

Validation is based on 3 evaluated Lab sessions (Lab1, Lab2 and Lab3) and an written exam (W).
Final Mark = 1/2 [Average (Lab1, Lab2, Lab3) + W]

Approches pédagogiques

 

Programme

Programme Ingénieur

Fiche mise à jour : 07/06/2017 13:59:00