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

被引：0

作者：

Yu, Mianshui ^{[1
]}

Xie, Xiaomeng ^{[2
]}

机构：

[1] Guangdong Coll Ind & Commerce, Guangzhou 510510, Guangdong, Peoples R China

[2] S China Univ Technol, Coll Comp, Guangzhou 510641, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

Palmprint Recognition; Local Direction Pattern; Gabor wavelet; FEATURES;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1659 / 1664

页数：6

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