Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32162
Title: Image alignment based on invariant features for palmprint identification
Authors: Li, W
Zhang, D 
Xu, Z
Issue Date: 2003
Source: Signal processing. Image communication, 2003, v. 18, no. 5, p. 373-379
Abstract: 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.
Keywords: Biometric computing
Image segmentation
Invariant feature extraction
Palmprint alignment
Palmprint verification
Publisher: Elsevier
Journal: Signal processing. Image communication 
ISSN: 0923-5965
DOI: 10.1016/S0923-5965(03)00011-0
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