article

Personal authentication using multiple palmprint representation

Authors:

David ZhangAuthors Info & Claims

Pattern Recognition, Volume 38, Issue 10

Pages 1695 - 1704

https://doi.org/10.1016/j.patcog.2005.03.012

Published: 01 October 2005 Publication History

Abstract

Although several palmprint representations have been proposed for personal authentication, there is little agreement on which palmprint representation can provide best representation for reliable authentication. In this paper, we characterize user's identity through the simultaneous use of three major palmprint representations and achieve better performance than either one individually. This paper also investigates comparative performance between Gabor, line and appearance based palmprint representations and using their score and decision level fusion. The combination of various representations may not always lead to higher performance as the features from the same image may be correlated. Therefore we also propose product of sum rule which achieves better performance than any other fixed combination rules. Our experimental results on the database of 100 users achieve 34.56% improvement in performance (equal error rate) as compared to the case when features from single palmprint representation are employed. The proposed usage of multiple palmprint representations, especially on the peg-free and non-contact imaging setup, achieves promising results and demonstrates its usefulness.

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Cited By

(2018)Biometric security systemInternational Journal of Biometrics10.5555/3234359.323436210:2(142-175)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3234359.3234362
Ali MYannawar PGaikwad A(2017)Multi-Algorithm of Palmprint Recognition System Based on Fusion of Local Binary Pattern and Two-Dimensional Locality Preserving ProjectionProcedia Computer Science10.1016/j.procs.2017.09.091115:C(482-492)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.procs.2017.09.091
Li GKim J(2017)Palmprint recognition with Local Micro-structure Tetra PatternPattern Recognition10.1016/j.patcog.2016.06.02561:C(29-46)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.patcog.2016.06.025
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Personal authentication using multiple palmprint representation
1. Computing methodologies
  1. Machine learning

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Information

Published In

cover image Pattern Recognition

Pattern Recognition Volume 38, Issue 10

October, 2005

323 pages

ISSN:0031-3203

Issue’s Table of Contents

Copyright © Pattern Recognition Society © 2005.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 October 2005

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Cited By

(2018)Biometric security systemInternational Journal of Biometrics10.5555/3234359.323436210:2(142-175)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3234359.3234362
Ali MYannawar PGaikwad A(2017)Multi-Algorithm of Palmprint Recognition System Based on Fusion of Local Binary Pattern and Two-Dimensional Locality Preserving ProjectionProcedia Computer Science10.1016/j.procs.2017.09.091115:C(482-492)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.procs.2017.09.091
Li GKim J(2017)Palmprint recognition with Local Micro-structure Tetra PatternPattern Recognition10.1016/j.patcog.2016.06.02561:C(29-46)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.patcog.2016.06.025
Nedjah NWyant RMacedo Mourelle L(2017)Efficient biometric palm-print matching on smart-cards for high security and privacyMultimedia Tools and Applications10.1007/s11042-016-4271-876:21(22671-22701)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11042-016-4271-8
Mokni RDrira HKherallah M(2017)Combining shape analysis and texture pattern for palmprint identificationMultimedia Tools and Applications10.1007/s11042-016-4088-576:22(23981-24008)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11042-016-4088-5
Leng LLi MKim CBi X(2017)Dual-source discrimination power analysis for multi-instance contactless palmprint recognitionMultimedia Tools and Applications10.1007/s11042-015-3058-776:1(333-354)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3058-7
(2016)Palmprint recognition through the fractal dimension estimation for texture analysisInternational Journal of Biometrics10.5555/3059195.30592008:3-4(254-274)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.5555/3059195.3059200
Kalluri HPrasad MAgarwal A(2015)Palmprint identification and verification based on wide principal lines through dynamic ROIInternational Journal of Biometrics10.1504/IJBM.2015.0695017:1(1-30)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1504/IJBM.2015.069501
Yong Xu Lunke Fei Zhang D(2015)Combining Left and Right Palmprint Images for More Accurate Personal IdentificationIEEE Transactions on Image Processing10.1109/TIP.2014.238017124:2(549-559)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1109/TIP.2014.2380171
Karmakar DMurthy C(2014)Generation of new points for training set and feature-level fusion in multimodal biometric identificationMachine Vision and Applications10.1007/s00138-013-0532-y25:2(477-487)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1007/s00138-013-0532-y
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