计算机工程与应用Issue(3)：143-147,5.DOI:10.3778/j.issn.1002-8331.1309-0220
Gabor小波变换和NMF结合的人脸识别
Face recognition based on Gabor and NMF
摘要
Abstract
For the case of few training samples, a new face recognition method is proposed. Features are extracted from different sub-images obtained through Gabor wavelet transform. Non-negative matrix factorization is used to accomplish data dimensionality reduction and feature selection for sub-images generated by each filter. Two-layer classification is designed to finish the classification. Nearest neighbor classifier based on distance is adopted to complete the first layer classification. The final classification results are gained by counting the record of the results from the first layer. Experiments are done on Yale face database. The results show that the method presented in this paper can effectively improve the recognition rate.关键词
人脸识别/Gabor小波/非负矩阵分解/最近邻分类器Key words
face recognition/Gabor wavelet/non-negative matrix factorization/nearest neighbor classifier分类
信息技术与安全科学引用本文复制引用
张素娥,周军,王大伟,梅红岩..Gabor小波变换和NMF结合的人脸识别[J].计算机工程与应用,2015,(3):143-147,5.基金项目
国家自然科学基金（No.61074014）；辽宁省教育厅重点实验室项目（No.LS2010079）。 （）
