吉林大学学报（理学版）Issue(2)：303-307,5.DOI:10.13413/j.cnki.jdxblxb.2014.02.28
基于改进的2DPCA对近红外人脸图像的识别方法
Near Infrared Human Face Image Recognition Based on the Improved Two-Dimensional Principal Component Analysis
摘要
Abstract
The authors used two-dimensional principal component analysis algorithm and the near infrared face method to solve the influence of environmental light on the face recognition,on the basis of which the authors advanced the two-way two-dimensional principal component analysis algorithm and two-way symmetric two-dimensional principal component analysis algorithm,and got the higher recognition rate of face recognition methods.关键词
人脸识别/近红外/2DPCA算法/双向2DPCA算法/双向对称2DPCA算法Key words
face recognition/near infrared/two-dimensional principal component analysis algorithm/two-way two-dimensional principal component analysis algorithm/two-way symmetrical two-dimensional principal component analysis algorithm分类
信息技术与安全科学引用本文复制引用
吴博,刘小华,周春光..基于改进的2DPCA对近红外人脸图像的识别方法[J].吉林大学学报（理学版）,2014,(2):303-307,5.基金项目
国家自然科学基金(批准号:61175023) （批准号:61175023）
