A fully neural approach to color facial image recognition

Author

Neagoe, Victor ; Mugioiu, Alexandru

Author_Institution

Dept. Electron.Telecommun. & Inf. Technol., Polytech. Univ. of Bucharest, Bucharest

fYear

2008

Firstpage

1

Lastpage

6

Abstract

The paper proposes a neural network cascade for color facial image recognition consisting of three processing stages: a) conversion of the standard RGB color space into the 3D uncorrelated color space (UCS) using a Hebbian neural network (HNN), that implements the model of Principal Component Analysis (PCA) in the color space; b) fusion of the three UCS components; c) the neural classifier called Concurrent Self-Organizing Maps (CSOM). The system is experimented for a set of 906 color facial images of 151 subjects selected from the Essex University database. The very good experimental results for color face recognition are given.

Keywords

Hebbian learning; face recognition; image classification; image colour analysis; principal component analysis; self-organising feature maps; 3D uncorrelated RGB color space; Hebbian neural network classifier; color facial image recognition; concurrent self-organizing map; image processing; principal component analysis; Artificial neural networks; Face recognition; Image color analysis; Image converters; Image recognition; Neural networks; Neurons; Pattern recognition; Principal component analysis; Space technology; Hebbian neural network; color face recognition; concurrent self-organizing maps; uncorrelated color space (UCS);

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Congress, 2008. WAC 2008. World

Conference_Location

Hawaii, HI

Print_ISBN

978-1-889335-38-4

Electronic_ISBN

978-1-889335-37-7

Type

conf

Filename

4699058