关键词: Gabor小波, 奇异值分解（SVD）, RBF神经网络, 热红外人脸识别

Abstract: In recent years, more attention has been paid to infrared face recognition since infrared face images have lots of special properties such as defense from camouflage, cheat and independence to the ambient light. A novel method for infrared face recognition based on Gabor Wavelet and Singular Value Decomposition（SVD） is proposed. The normalized infrared face image is first decomposed by convolving with multi-scale and multi-orientation Gabor filters, obtaining many Gabor feature matrixes. SVD is performed on every Gabor feature matrix and then the largest singular values of every matrix are combined to form the final infrared face feature vector. Finally, a radial basis function neural network is used for classification. The experimental results on infrared face database show that, compared to traditional identification methods, this method has good recognition effect.

Key words: Gabor wavelet, Singular Value Decomposing（SVD）, RBF neural networks, infrared face recognition