微型机与应用Issue(17)：43-45,3.
基于改进PCA的人脸识别算法
Face recognition algorithm based on improved PCA
李云彤 1黄山 2徐海明1
作者信息
- 1. 四川大学 电气信息学院，四川 成都 610065
- 2. 四川大学 计算机学院，四川 成都 610065
- 折叠
摘要
Abstract
Aiming at the problems of original PCA like long calculating time and average treats all pixels, a recognition algorithm based on Bidirectional-WPCA was proposed. Firstly, the training and testing sample was weighted by double-center eclosion function to increase proportion of major organs. Then, the dimension of samples was reduced on the row and column by using the Bidirectional PCA algorithm. Last, the eigen was matched by K-NN algorithm. The experiment indicates that the algorithm not only speeded up the rate of calculation, but also got a better accuracy, which confirms the feasibility of the algorithm.关键词
人脸识别/双向 PCA/双中心羽化加权Key words
face recognition/BD-PCA/double-center eclosion function分类
信息技术与安全科学引用本文复制引用
李云彤,黄山,徐海明..基于改进PCA的人脸识别算法[J].微型机与应用,2015,(17):43-45,3.
