佛山科学技术学院学报（自然科学版）Issue(3)：52-55,4.
基于改进 kNN 算法的人脸识别研究
Study of face recognition based on improved kNN algorithm
摘要
Abstract
This paper analyzed the face recognition process and structural design. It shows that classification algorithm selection determines the results of face recognition quality. Thus, the classical kNN algorithm was analyzed, and put forward the improved kNN classification algorithm by taking k value dynamically. Through the experimental test, it proves that the improved kNN classification algorithm can effectively improve the stability of the identification accuracy.关键词
人脸识别/特征提取/k- 邻近Key words
face recognition/feature extraction/k-nearest-neighborhood分类
信息技术与安全科学引用本文复制引用
甘守飞..基于改进 kNN 算法的人脸识别研究[J].佛山科学技术学院学报（自然科学版）,2015,(3):52-55,4.基金项目
安徽省级质量工程项目（2013gxk095，2014mooc056）；国家级大学生创新项目（201410379003）；安徽省高等学校教学研究重点项目 （）
