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CVPR
2010
IEEE

The Multiscale Competitive Code via Sparse Representation for Palmprint Verification

14 years 1 days ago
The Multiscale Competitive Code via Sparse Representation for Palmprint Verification
Palm lines are the most important features for palmprint recognition. They are best considered as typical multiscale features, where the principal lines can be represented at a larger scale while the wrinkles at a smaller scale. Motivated by the success of coding-based palmprint recognition methods, this paper investigates a compact representation of multiscale palm line orientation features, and proposes a novel method called the sparse multiscale competitive code (SMCC). The SMCC method first defines a filter bank of second derivatives of Gaussians with different orientations and scales, and then uses the l1-norm sparse coding to obtain a robust estimation of the multiscale orientation field. Finally, a generalized competitive code is used to encode the dominant orientation. Experimental results show that the SMCC achieves higher verification accuracy than state-of-the-art palmprint recognition methods, yet uses a smaller template size than other multiscale methods.
Wangmeng Zuo, Zhouchen Lin
Added 30 Mar 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Wangmeng Zuo, Zhouchen Lin
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