22 December 2015 Competitive region orientation code for palmprint verification and identification
Wenliang Tang
Author Affiliations +
Abstract
Orientation features of the palmprint have been widely investigated in coding-based palmprint-recognition methods. Conventional orientation-based coding methods usually used discrete filters to extract the orientation feature of palmprint. However, in real operations, the orientations of the filter usually are not consistent with the lines of the palmprint. We thus propose a competitive region orientation-based coding method. Furthermore, an effective weighted balance scheme is proposed to improve the accuracy of the extracted region orientation. Compared with conventional methods, the region orientation of the palmprint extracted using the proposed method can precisely and robustly describe the orientation feature of the palmprint. Extensive experiments on the baseline PolyU and multispectral palmprint databases are performed and the results show that the proposed method achieves a promising performance in comparison to conventional state-of-the-art orientation-based coding methods in both palmprint verification and identification.
© 2015 SPIE and IS&T 1017-9909/2015/$25.00 © 2015 SPIE and IS&T
Wenliang Tang "Competitive region orientation code for palmprint verification and identification," Journal of Electronic Imaging 24(6), 063019 (22 December 2015). https://doi.org/10.1117/1.JEI.24.6.063019
Published: 22 December 2015
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Databases

Image filtering

Image compression

Near infrared

Feature extraction

Binary data

Convolution

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