article

Online joint palmprint and palmvein verification

Authors:

Wangmeng ZuoAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 38, Issue 3

Pages 2621 - 2631

https://doi.org/10.1016/j.eswa.2010.08.052

Published: 01 March 2011 Publication History

Abstract

As a unique and reliable biometric characteristic, palmprint verification has achieved a great success. However, palmprint alone may not be able to meet the increasing demand of highly accurate and robust biometric systems. Recently, palmvein, which refers to the palm feature under near-infrared spectrum, has been attracting much research interest. Since palmprint and palmvein can be captured simultaneously by using specially designed devices, the joint use of palmprint and palmvein features can effectively increase the accuracy, robustness and anti-spoof capability of palm based biometric techniques. This paper presents an online personal verification system by fusing palmprint and palmvein inforA fast palmprint and palmvein recognition systemA fast palmprint and palmvein recognition system quality can vary much, a dynamic fusion scheme which is adaptive to image quality is developed. To increase the anti-spoof capability of the system, a liveness detection method based on the image property is proposed. A comprehensive database of palmprint-palmvein images was established to verify the proposed system, and the experimental results demonstrated that since palmprint and palmvein contain complementary information, much higher accuracy could be achieved by fusing them than using only one of them. In addition, the whole verification procedure can be completed in 1.2s, which implies that the system can work in real time.

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Cited By

Lee JOh BToh K(2024)Extraction of intersecting palm‐vein and palmprint features for cancellable identity verificationCAAI Transactions on Intelligence Technology10.1049/cit2.122779:1(69-86)Online publication date: 11-Jan-2024
https://dl.acm.org/doi/10.1049/cit2.12277
Taouche CBelhadef HLaboudi Z(2022)Palmprint Recognition System Based on Multi-Block Local Line Directional Pattern and Feature SelectionInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.29204215:1(1-26)Online publication date: 11-Mar-2022
https://dl.acm.org/doi/10.4018/IJITSA.292042
(2019)Towards a robust palmprint representation for person identificationInternational Journal of Information and Communication Technology10.5555/3302734.330274114:1(89-109)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3302734.3302741
Show More Cited By

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Online joint palmprint and palmvein verification
1. Computing methodologies
  1. Machine learning

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cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 38, Issue 3

March, 2011

1654 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2010.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 March 2011

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Cited By

Lee JOh BToh K(2024)Extraction of intersecting palm‐vein and palmprint features for cancellable identity verificationCAAI Transactions on Intelligence Technology10.1049/cit2.122779:1(69-86)Online publication date: 11-Jan-2024
https://dl.acm.org/doi/10.1049/cit2.12277
Taouche CBelhadef HLaboudi Z(2022)Palmprint Recognition System Based on Multi-Block Local Line Directional Pattern and Feature SelectionInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.29204215:1(1-26)Online publication date: 11-Mar-2022
https://dl.acm.org/doi/10.4018/IJITSA.292042
(2019)Towards a robust palmprint representation for person identificationInternational Journal of Information and Communication Technology10.5555/3302734.330274114:1(89-109)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3302734.3302741
Attallah BSerir AChahir Y(2019)Feature extraction in palmprint recognition using spiral of moment skewness and kurtosis algorithmPattern Analysis & Applications10.1007/s10044-018-0712-522:3(1197-1205)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s10044-018-0712-5
(2018)Palmprint identification and verification with minimal number of featuresInternational Journal of Biometrics10.1504/IJBM.2018.09012310:1(16-28)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJBM.2018.090123
Attallah BChahir YSerir A(2018)Geometrical Local Image Descriptors for Palmprint RecognitionImage and Signal Processing10.1007/978-3-319-94211-7_45(419-426)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1007/978-3-319-94211-7_45
(2017)Stereo-based palmprint recognition in various 3D posturesExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.01.02578:C(74-88)Online publication date: 15-Jul-2017
https://dl.acm.org/doi/10.1016/j.eswa.2017.01.025
Charfi NTrichili HAlimi ASolaiman B(2016)Local invariant representation for multi-instance toucheless palmprint identification2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2016.7844778(003522-003527)Online publication date: 9-Oct-2016
https://dl.acm.org/doi/10.1109/SMC.2016.7844778
Bounneche MBoubchir LBouridane ANekhoul BAli-Chérif A(2016)Multi-spectral palmprint recognition based on oriented multiscale log-Gabor filtersNeurocomputing10.1016/j.neucom.2016.05.005205:C(274-286)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.05.005
Xiangqian Wu Qiushi Zhao (2015)Deformed Palmprint Matching Based on Stable RegionsIEEE Transactions on Image Processing10.1109/TIP.2015.247838624:12(4978-4989)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1109/TIP.2015.2478386
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