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Image alignment based on invariant features for palmprint identification
Li, WX ; Zhang, D ; Xu, ZQ
刊名signal processing image communication
2003
关键词biometric computing palmprint alignment invariant feature extraction image segmentation palmprint verification REGISTRATION RECOGNITION
DOI10.1016/S0923-5965(03)00011-0
英文摘要Palmprint identification provides a new technique for personal authentication. Previous research on palmprint identification mainly focuses on feature extraction and representation (Pattern Recognition 33(4) (1999) 691). But a crucial issue, palmprint alignment, is not addressed. Palmprint alignment involves moving and rotating the palmprints to locate at their correct position with the same direction. By this alignment operation, a certain palmprint sub-area can be easily obtained so that the corresponding palmprint feature matching will be carried out satisfactorily. In order to align palmprints, two invariant features, outer boundary direction and end point of heart line, are introduced. The key point in this paper is to propose a new automatic invariant-feature-based palmprint alignment method, which is able to deal with various image distortions such as image rotation and shift. This method provides a foundation for further feature extraction and matching. The experimental results demonstrate the effectiveness and accuracy of the proposed method. (C) 2003 Elsevier Science B.V. All rights reserved.; Engineering, Electrical & Electronic; SCI(E); EI; 7; ARTICLE; 5; 373-379; 18
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/255950]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Li, WX,Zhang, D,Xu, ZQ. Image alignment based on invariant features for palmprint identification[J]. signal processing image communication,2003.
APA Li, WX,Zhang, D,&Xu, ZQ.(2003).Image alignment based on invariant features for palmprint identification.signal processing image communication.
MLA Li, WX,et al."Image alignment based on invariant features for palmprint identification".signal processing image communication (2003).
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