计算机应用与软件Issue(5)：188-190,196,4.DOI:10.3969/j.issn.1000-386x.2014.05.048
基于图像分割及模糊隶属度的PCA人脸识别
FACE RECOGNITION WITH PCA BASED ON IMAGE SEGMENTATION AND FUZZY MEMBERSHIP
摘要
Abstract
We propose a new image segmentation method to be applied to PCA,which cuts apart five most obvious facial feature parts from the image,including forehead,left eye,right eye,nose and mouth but gives up the parts of two ears and other remained facial areas which containing only a few characteristics.Fuzzy membership is introduced to classification and recognition,and a new membership function is presented,weighted and to fuse it with the recognition results of the above five parts.It is shown by the experiments based on ORL face library that the proposed method combining the new segmentation with membership function has good classification effect and improves the recognition rate and execution efficiency.关键词
PCA/隶属度/图像分割/特征提取/人脸识别Key words
PCA Membership/Image segmentation/Feature extraction/Face recognition分类
信息技术与安全科学引用本文复制引用
张飞龙,王顺芳,赵剑华,丁海燕..基于图像分割及模糊隶属度的PCA人脸识别[J].计算机应用与软件,2014,(5):188-190,196,4.基金项目
国家自然科学基金项目（11261068，10901135）；昆明市中青年学术和技术带头人后备人选资助项目。 （）
