计算机工程与应用Issue(13)：121-124,4.DOI:10.3778/j.issn.1002-8331.1301-0343
基于Gabor小波和SVD的热红外人脸识别研究
Research on infrared face recognition based on Gabor wavelet and SVD
摘要
Abstract
In recent years, more attention has been paid to infrared face recognition since infrared face images have lots of spe-cial 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.关键词
Gabor小波/奇异值分解(SVD)/RBF神经网络/热红外人脸识别Key words
Gabor wavelet/Singular Value Decomposing(SVD)/RBF neural networks/infrared face recognition分类
信息技术与安全科学引用本文复制引用
方文俊,周翔,汤进,罗斌..基于Gabor小波和SVD的热红外人脸识别研究[J].计算机工程与应用,2013,(13):121-124,4.基金项目
国家自然科学基金（No.61073116，No.61272152）。 （）
