利用HSI色彩空间的PCNN人脸识别方法  

A Method of Face Recognition Based on HSI-PCNN

作　　者：黎曦[1] 郑宏[1] 刘操[1] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430072

出　　处：《武汉大学学报（信息科学版）》2014年第12期1499-1503,共5页Geomatics and Information Science of Wuhan University

基　　金：国家973计划资助项目(2012CB719905)~~

摘　　要：通过对彩色人脸图像进行HSI色彩空间分解,生成H、S、I三个通道的人脸图像模板,在保留原始人脸色彩特征的基础上,利用PCNN算法分别对三个通道的人脸特征进行提取,得到人脸图像特征图谱,并用具有唯一性的人脸图谱序列进行人脸识别。经过实验验证,该方法相比原有的PCNN以及其他人脸识别方法,具有检测过程简洁,识别精度高,鲁棒性强以及便于硬件实现等特点。By decomposing the color face image into HSI space;generating a three channel face image template;and using HSI-PCNN algorithm of three channels extracts facial feature sequence,the feature sequence can be used for face recognition.An experimental comparison shows that this method can distinguish facial features well,while retaining the skin color information from the face.The HSIPCNN face recognition method,when compared to the original PCNN method performed as well as other face recognition methods.The proposed method for face detection process is simple and the identification accuracy is high.In order to achieve better outputs,after repeated experiments and parameter adjustments,this proposed method using for face recognition showed strong robustness.

关 键 词：人工神经网络 PCNN 人脸识别 HSI 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] TP183[自动化与计算机技术—控制科学与工程]