An effective colour feature extraction method using evolutionary computation for face recognition

Document Type

Article

Publication Date

1-1-2011

Abstract

This paper presents a colour feature extraction method using a Genetic Algorithm (GA) to seek the optimal colour space transformation that leads to an effective image representation for face recognition. A new colour space, LC1C2, consisting of one luminance (L) channel and two chrominance channels (C1, C2) is introduced as a linear transformation of the input RGB colour space. The specific transformation from the RGB colour space to the LC1C2 colour space is optimised by a GA where a fitness function guides the evolution towards higher recognition accuracy. Copyright © 2011 Inderscience Enterprises Ltd.

Identifier

79959694894 (Scopus)

Publication Title

International Journal of Biometrics

External Full Text Location

https://doi.org/10.1504/IJBM.2011.040816

e-ISSN

1755831X

ISSN

17558301

First Page

206

Last Page

227

Issue

3

Volume

3

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