AN EFFECTIVE ILLUMINATION COMPENSATION METHOD FOR FACE RECOGNITION

被引：5
|
作者：
Huang, Yea-Shuan [1 ]
Li, Chu-Yung [1 ]
机构：
[1] Chung Hwa Univ, Dept Comp Sci Informat Engn, Hsinchu, Taiwan
来源：
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2013年 / 21卷 / 06期
关键词：
face recognize; illumination compensation; anisotropic smoothing; homomorphic filtering; NORMALIZATION;
D O I：
10.6119/JMST-012-0829-4
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Face recognition is very useful in many applications, such as safety and surveillance, intelligent robot, and computer login. The reliability and accuracy of such systems will be influenced by the variation of background illumination. Therefore, how to accomplish an effective illumination compensation method for human face image is a key technology for face recognition. Our study uses several computer vision techniques to develop an illumination compensation algorithm to processing the single channel (such as grey level or illumination intensity) face image. The proposed method mainly consists of three processing modules: (1) Homomorphic Filtering, (2) Ratio Image Generation, and (3) Anisotropic Smoothing. Experiments have shown that by applying the proposed method the human face images can be further recognized by conventional classifiers with high recognition accuracy.
引用
收藏
页码：647 / 652
页数：6
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