计算机工程与应用2017，Vol.53Issue(21)：132-137,6.DOI:10.3778/j.issn.1002-8331.1607-0226
改进的Gabor变换和二维NMF融合的人脸识别
Face recognition based on improved Gabor transform and non-negative matrix factorization
摘要
Abstract
In order to get the high quality facial features and improve the performance of face recognition, the face recog-nition method based on improved Gabor transform and two-dimensional non negative matrix factorization is proposed in this paper. Improved Gabor transform extracts the characteristics with a higher quality, enhances the robustness. Two dimensional non negative matrix decomposition of dimensionality reduction can greatly reduce the dimension of the image data, shorten the calculation time, improve the recognition rate. At last, experiments are carried in the ORL face database. The results show that improved Gabor transform and two-dimensional NMF method have a slight increase in the calculation time, but the recognition efficiency is improved obviously, thus proves the effectiveness of this method.关键词
人脸识别/Gabor变换/二维非负矩阵分解法Key words
face recognition/Gabor transform/two-dimensional non-negative matrix decomposition method分类
信息技术与安全科学引用本文复制引用
王晓华,杨清梅,杨涛..改进的Gabor变换和二维NMF融合的人脸识别[J].计算机工程与应用,2017,53(21):132-137,6.基金项目
国家自然科学基金(No.61301276) （No.61301276）
西安工程大学控制科学与工程学科建设经费资助(No.107090811) （No.107090811）
西安工程大学博士科研启动金项目(No.BS1207). （No.BS1207）
