A color facial authentification system based on semi supervised backporpagation neural network

Author

Belghini, Naouar ; Zarghili, Arsalane ; Kharroubi, Jamal ; Majda, Aicha

Author_Institution

LTTI Lab., Sidi Mohamed Ben Abdellah Univ., Fez, Morocco

fYear

2011

fDate

7-9 April 2011

Firstpage

1

Lastpage

4

Abstract

A Backpropagation Neural Network (BPNN) is one of the most used methods in the domain of face recognition. BPNN need supervised training to learn how to predict results from desired data, and through many research and studies, they proof there robustness to do so. In this paper, we propose a hybrid method to achieve face recognition purpose using semi supervised BPNN. The idea is to get the desired output of the network from an exterior classifier and then apply the back propagation algorithm to recognize facial data.

Keywords

backpropagation; face recognition; image colour analysis; neural nets; color facial authentification system; face recognition; semi supervised backporpagation neural network; supervised training; Artificial neural networks; Databases; Face; Face recognition; Neurons; Support vector machine classification; Training; All-Class-in-One-Network; Face recognition; Neural Network; SOM; back propagation;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2011 International Conference on

Conference_Location

Ouarzazate

ISSN

Pending

Print_ISBN

978-1-61284-730-6

Type

conf

DOI

10.1109/ICMCS.2011.5945666

Filename

5945666