计算机工程与应用Issue(19)：187-191,5.DOI:10.3778/j.issn.1002-8331.1311-0322
复杂光照条件下的人脸预处理算法
Face preprocessing algorithm in good complex illumination
摘要
Abstract
In order to improve the face recognition rate in illumination conditions, this paper proposes a face preprocessing algorithm in complex illumination conditions. The illumination face image is enhanced by nonlinear method, and then bilat-eral filtering is used to estimate the influence of illumination, and the loss of estimation is compensated by Gamma method. The estimation results are fused to improve the effect of face image, and face classifier is established based on K near algo-rithm. The results of Yale, PIE and AR face database show that the proposed method has improved face recognition rate in complex illumination conditions compared with other methods.关键词
人脸识别/支持向量机/亮度补偿/图像增强Key words
face recognition/support vector machine/illumination compensation/image enhancement分类
信息技术与安全科学引用本文复制引用
顾思思..复杂光照条件下的人脸预处理算法[J].计算机工程与应用,2014,(19):187-191,5.基金项目
湖南省教育厅科研项目（No.12C0681，No.13C336）。 （）
