A Palmprint Recognition Method Based on Gabor Wavelet and Local Direction Pattern

DOI

10.2991/amcce-15.2015.296How to use a DOI?

Keywords

Palmprint Recognition; Local Direction Pattern; Gabor wavelet

Abstract

Palmprint recognition is an emerging biometric technology that identifies a person based on the hand image. In this paper, a novel palmprint identification method based on Gabor wavelets and Local Direction Pattern (LDP) techniques has been proposed. The Gabor response images at different scales and directions are obtained by convolving the multi-channel Gabor wavelet and palmprint images, which are further divided into non-overlapping sub-blocks. The LDP characteristics are extracted from each sub-block and the feature vector of palmprint image is then produced by combining them using the LDP operator. Finally, the palmprint images are identified using the nearest neighbor classification method. The proposed method has been verified on the public PolyU palmprint database, and the experimental results have shown that the proposed method is effective.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mianshui Yu
AU  - Xiaomeng Xie
PY  - 2015/04
DA  - 2015/04
TI  - A Palmprint Recognition Method Based on Gabor Wavelet and Local Direction Pattern
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.296
DO  - 10.2991/amcce-15.2015.296
ID  - Yu2015/04
ER  -