计算机与现代化 ›› 2012, Vol. 203 ›› Issue (7): 104-106,.doi: 10.3969/j.issn.1006-2475.2012.07.028

• 图像处理 • 上一篇    下一篇

一种光照变化条件下的人脸识别方法

李楠   

  1. 桂林电子科技大学计算机科学与工程学院,广西桂林541004
  • 收稿日期:2012-03-07 修回日期:1900-01-01 出版日期:2012-08-10 发布日期:2012-08-10

A Method for Face Recognition Under Variable Illumination Conditions

LI Nan   

  1. School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
  • Received:2012-03-07 Revised:1900-01-01 Online:2012-08-10 Published:2012-08-10

摘要: 针对光照变化引起的人脸识别问题,提出一种区域光照人脸识别方法。首先采用区域划分技术将人脸图像分为4个区域,以区域范围内的灰度变化作为光照影响人脸显示的度量值,对受光照影响区域进行频域光照归一,再以区域为单位采用支持向量机进行识别,最后对识别结果进行融合。实验表明,该方法可以在光照变化条件下获得较好的人脸识别率。

关键词: 人脸识别, 光照变化, 区域划分, 支持向量机, 光照归一化

Abstract: A novel method for face recognition based on region is proposed to solve the problem of illumination variable. First the image is divided into four regions and the grayscale changes in the regional context is regarded as a measure of illumination affect the face display. The impact regions executes frequency normalization. Features is extracted by regional units and region recognition by support vector machine, then final result is achieved by recognition result fusion. The experiments show that the method can get good face recognition rate under illumination changes.

Key words: face recognition, variable illumination, region division, support vector machine, illumination normalization

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