Synthetically Occluded Face Recognition Using Local Complex Binary Pattern

被引：0
|
作者：
Agrawal, Gauri [1 ]
Maurya, Sanjay Kumar [2 ]
机构：
[1] GLA Univ, Elect & Commun, Mathura, UP, India
[2] GLA Univ, Elect Engn, Mathura, UP, India
来源：
2014 INTERNATIONAL CONFERENCE ON DATA MINING AND INTELLIGENT COMPUTING (ICDMIC) | 2014年
关键词：
Face recognition; local complex binary pattern (LCBP); local binary pattern; complex filter; face occlusion; Dual tree complex wavelet transform;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
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页数：5
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