查询结果:   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,2014,31(5):188 - 190,196.
中文标题
基于图像分割及模糊隶属度的PCA人脸识别
发表栏目
图像处理与应用
摘要点击数
806
英文标题
FACE RECOGNITION WITH PCA BASED ON IMAGE SEGMENTATION and FUZZY MEMBERSHIP
作 者
张飞龙 王顺芳 赵剑华 丁海燕 Zhang Feilong Wang Shunfang Zhao Jianhua Ding Haiyan
作者单位
云南大学信息学院 云南 昆明 650091     
英文单位
School of Information Science and Engineering, Yunnan University, Kunming 650091, Yunnan, China     
关键词
PCA 隶属度 图像分割 特征提取 人脸识别
Keywords
PCA Membership Image segmentation Feature extraction Face recognition
基金项目
国家自然科学基金项目(11261068,10901135);昆明市中青年学术和技术带头人后备人选资助项目
作者资料
张飞龙,硕士生,主研领域:计算机应用技术。王顺芳,教授。赵剑华,硕士生。丁海燕,副教授。 。
文章摘要
提出一种新的图像分割方法应用于PCA中,将包含人脸特征最为明显的额头、左眼、右眼、鼻子、嘴巴等五部分从图像中分割出来,而舍弃双耳以及脸部其余部分等只包含很少特征的部位。在分类识别中引入模糊隶属方法,提出一个新的隶属度函数并加权融合上述五部分的识别结果。基于ORL人脸库的实验表明,所提出的新分割和隶属度函数结合的方法具有很好的分类效果,提高了识别率和执行效率。
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.
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