Publication Type

Journal Article

Version

publishedVersion

Publication Date

8-2014

Abstract

As a new and promising biometric feature, thermal palm vein pattern has drawn lots of attention in research and application areas. Many algorithms have been proposed for authentication since palm vein has special characteristics, such as liveness detection and hard to forgery. However, the detection accuracy of palm vein quite depends on the preprocessing and feature representation, which is supposed to be translation and rotation invariant to some extent. In this paper, we proposed an effective method for palm vein identification based on Gabor wavelet features which contains five steps: image acquisition, ROI detection, image preprocessing, features extraction, and matching. The 178 palm vein images from 101 persons were used to test the proposed palm vein recognition approach, where 176 images were correctly recognized with two in failure. The experimental results demonstrate the effectiveness of the proposed approach.

Keywords

Palm vein, Biological identification, Gabor wavelet

Discipline

Programming Languages and Compilers | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Neural Computing and Applications

Volume

24

Issue

1

First Page

161

Last Page

168

ISSN

0941-0643

Identifier

10.1007/s00521-013-1514-8

Publisher

Springer (part of Springer Nature): Springer Open Choice Hybrid Journals

Additional URL

https://doi.org/10.1007/s00521-013-1514-8

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