Contourlet Transform Based Algorithm of Shadow Compensation for Face Recognition

摘要：

This paper researches of the new multi-scale geometric analysis tool—Contourlet and proposes a new Contourlet multi-threshold method of shadow compensation for uneven illumination face images. The proposed algorithm combines hard threshold with 2d shadow compensation method and selects proper thresholds depending on the sub-band layers of Contourlet transform. It takes full advantage of the shadow elimination with Contourlet multi-threshold method and the 2D shadow compensation method, so that it could obtain the information of the shadow field and non-shadow field. Experiments are carried out using the Yale B database and the results demonstrate that the face images dealt with the proposed method have good subjective vision and impersonal identify ratio. For images under different illumination angles, compared with 2D shadow compensation algorithm, the proposed method has an average recognition ratio increase of 21.20% to 55.84% in extreme condition.

关键词： Contourlet multi-scale geometric analysis face recognition shadow compensation

作者: Yu Hai-Long Ren Huo-Rong Yan Kai

作者单位: School of Mechanical & Electrical Engineering, Xidian University Xi an, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 671-674

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）