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Synthetically occluded face recognition using local complex binary pattern

机译:使用局部复杂二进制模式的综合遮挡人脸识别

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摘要

In real world applications of face recognition system occlusion is always a big challenge. This paper presents an approach using hybrid combination of DT-CWT and LBP for feature extraction to deal with various occlusion. The DT-CWT focuses on global scale invariant feature however LBP emphasis on local structure of face image .The proposed approach are tested for synthetically created occlusion at eyes, mouth, upper face ,lower face, which are general occlusion that is encountered in real world applications. The experimental result of recognition shows the robustness and effectiveness of proposed local complex binary pattern (LCBP) under different occlusion.
机译:在现实世界中,人脸识别系统的遮挡始终是一个很大的挑战。本文提出了一种使用DT-CWT和LBP的混合组合进行特征提取以处理各种遮挡的方法。 DT-CWT着重于全局尺度不变特征,而LBP着重于面部图像的局部结构。针对在现实世界中遇到的一般遮挡的眼睛,嘴巴,上脸,下脸的合成遮挡进行了测试。应用程序。识别的实验结果表明了所提出的局部复杂二元模式(LCBP)在不同遮挡下的鲁棒性和有效性。

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