利用HSI色彩空间的PCNN人脸识别方法

A Method of Face Recognition Based on HSI-PCNN

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.