摘要
PCA算法是人脸识别技术中的经典算法之一。为了提高特定环境下PCA人脸识别算法的正确识别率,提出了一种改进的距离判别函数f-k优化近邻法,实验结果表明,该算法在多人多幅图像测试中识别效果得到明显改善,个体正确识别率达到97.62%。
PCA is one of the classic algorithms in face recognition technology.In order to improve the recognition correct rate of PCA face recognition algorithm under certain circumstances,an improved distance discriminate function---the f-k optimize nearest neighbor method was proposed.The experiments show that the new algorithm made recognition performance improved significantly and the recognition correct rate of personnel reached to 97.62% when test in multiplayer multiple images.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2013年第6期820-824,共5页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
教育部人文社科规划基金资助项目(12YJAZH022)
武汉理工大学研究生自主创新基金资助项目(135214001)
关键词
人脸识别
PCA
f-k优化近邻法
face recognition
PCA
f-k optimization nearest neighbor method
