吉林大学学报（理学版）2012，Vol.50Issue(2)：293-298,6.
基于模糊聚类分析和多特征融合的人脸识别方法
A Face Recognition Method Based on Fuzzy Clustering Analysis and Multi-feature Fusion
摘要
Abstract
A method of using fuzzy clustering analysis to combine linear subspace features and Gabor features to recognize faces was proposed. Firstly it analyzes the distribution of sample database in linear space. Then it uses Gabor features to recognize faces that locate in boundary of different cluster centers. Experimental results show the presented method has high recognition rate, meanwhile it reduces average recognition time.关键词
计算机应用/人脸识别/特征融合/线性子空间/模糊聚类分析/Gabor小波Key words
computer application/ face recognition/ feature fusion/ linear subspace/ fuzzy clustering analysis/ Gabor wavelet分类
信息技术与安全科学引用本文复制引用
高璐,李文辉,王莹..基于模糊聚类分析和多特征融合的人脸识别方法[J].吉林大学学报（理学版）,2012,50(2):293-298,6.基金项目
国家自然科学基金(批准号:60873147)和国家高技术研究发展计划863项目基金(批准号:2008AA10Z224). （批准号:60873147）
