计算机科学 ›› 2016, Vol. 43 ›› Issue (5): 294-297.doi: 10.11896/j.issn.1002-137X.2016.05.056
李艳萍,姜颖,胡金明,李卫平
LI Yan-ping, JIANG Ying, HU Jin-ming and LI Wei-ping
摘要： 人脸识别是一种常用的生物特征识别技术,广泛应用于门禁考勤、公安司法等领域。光照、人脸表情与姿态、遮挡等采集条件的变化对 现有人脸识别方法 影响较大,限制了其应用。提出了一种基于曲波变换和余弦测度的人脸识别方法,以提高人脸识别对采集条件的鲁棒性。首先,对待识别人脸图像进行曲波变换,依据曲波系数检测人脸区域的关键点；然后,提取各关键点在不同尺度和方向上的曲波特征,构建人脸特征描述子；最后,依据余弦测度、累加和运算和极值运算求取人脸的最优匹配结果。仿真实验表明,所提方法对光照、姿态、表情和遮挡等变化的鲁棒性强,且识别性能好。
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