计算机应用与软件Issue(3)：246-249,262,5.DOI:10.3969/j.issn.1000-386x.2014.03.065
改进单尺度 Retinex 的复杂光照人脸识别算法
FACE RECOGNITION ALGORITHM IN COMPLEX ILLUMINATION CONDITIONS WITH IMPROVED SINGLE-SCALE RETINEX
摘要
Abstract
Under complex illumination conditions,face recognition performance declines dramatically,the single-scale Retinex algorithm is easy to produce "halo"phenomenon.Aiming at this,we propose a complex illumination face recognition method which is based on im-proved single-scale Retinex algorithm.First,the Laplace gradient operator is used to enhance the edge information of lightened face images, and then based on single-scale Retinex algorithm the centre adaptive adjustment fitting function in accord with human visual system is intro-duced to enhance each colour component of the image and to improve the contrast of face image.Finally Yale B and CMU-PIE face database are used for simulation test.Results show that the proposed method enhances the contrast of face image,improves face image visual effect, and is conducive to improving face recognition rate and recognition speed,it can meet the requirements of face recognition under complex illu-mination conditions.关键词
人脸图像/图像增强/色彩恒常理论/支持向量机Key words
Face image/Image enhancement/Retinex theory/Support vector machine分类
信息技术与安全科学引用本文复制引用
朱珍,万志平,蒋鹏..改进单尺度 Retinex 的复杂光照人脸识别算法[J].计算机应用与软件,2014,(3):246-249,262,5.基金项目
国家自然科学基金项目（61273072）。 （）
