关键词: 彩色人脸识别, 颜色空间, 频谱脸, Fisher线性判别分析, 特征融合

Abstract: A new method for color face recognition is proposed in order to make full use of color information but with little complexity.First of all，it extracts S and V components in HSV color space，and then extracts the spectroface and FLD feature separately，finally，it classifies and recognizes the feature according to the fusion of the two components.Extraction of only S and V can both retain the color information and reduce the complexity.The spectroface is actually the amplitude of Fourier transform of the wavelet general image，and its shift invariance and rotation invariance can effectively eliminate the error caused by the expression change and a little mask.Experiment on the ESSEX color face database verifies that this method has a good ability to recognition.

Key words: color face recognition, color space, spectroface, Fisher linear discriminant analysis, feature fusion