针对人脸识别中存在遮挡而影响识别性能的问题,提出了一种利用快速加权主成分分析(FW-PCA),检测遮挡区域的鲁棒人脸识别算法.利用FW-PCA检测输入图像的遮挡区域,将其与图库图像的遮挡区域进行比较;利用局部二值模式匹配确定最优权重系数,利用相位相关算法匹配确定遮挡掩码;计算每个测试图像的匹配得分,并利用最近邻分类器完成人脸识别.在FRGC2和UND人脸库上的实验结果表明,此算法的识别率可高达99.6％,相比其他几种较新的人脸识别算法,取得了更好的识别性能.
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