article

Palmprint verification using hierarchical decomposition

Authors:

Thomas C. Chuang,

Kuo-Chin FanAuthors Info & Claims

Pattern Recognition, Volume 38, Issue 12

Pages 2639 - 2652

https://doi.org/10.1016/j.patcog.2005.04.001

Published: 01 December 2005 Publication History

Abstract

A reliable and robust personal verification approach using palmprint features is presented in this paper. The characteristics of the proposed approach are that no prior knowledge about the objects is necessary and the parameters can be set automatically. In our work, a flatbed scanner is adopted as an input device for capturing palmprint images; it has the advantages of working without palm inking or a docking device. In the proposed approach, two finger-webs are automatically selected as the datum points to define the region of interest (ROI) in the palmprint images. The hierarchical decomposition mechanism is applied to extract principal palmprint features inside the ROI, which includes directional and multi-resolution decompositions. The former extracts principal palmprint features from each ROI. The latter process the images with principal palmprint feature and extract the dominant points from the images at different resolutions. A total of 4800 palmprint images were collected from 160 persons to verify the validity of the proposed palmprint verification approach and the results are satisfactory with acceptable accuracy (FRR: 0.75% and FAR: 0.69%). Experimental results demonstrate that our proposed approach is feasible and effective in palmprint verification.

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Cited By

Fei LSu LZhang BZhao SWen JLi X(2024)Learning Frequency-Aware Common Feature for VIS-NIR Heterogeneous Palmprint RecognitionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.344194519(7604-7618)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3441945
(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
Tabejamaat M(2016)Selective Algorithm Outline (SAO); An Alternative Approach for Fusing Different Palm-Print Recognition AlgorithmsNeural Processing Letters10.1007/s11063-015-9442-543:3(709-726)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s11063-015-9442-5
Show More Cited By

Palmprint verification using hierarchical decomposition
1. Computing methodologies
  1. Computer graphics
  2. Machine learning
    1. Machine learning algorithms

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Published In

cover image Pattern Recognition

Pattern Recognition Volume 38, Issue 12

December, 2005

455 pages

ISSN:0031-3203

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Copyright © Pattern Recognition Society © 2005.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 December 2005

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Cited By

Fei LSu LZhang BZhao SWen JLi X(2024)Learning Frequency-Aware Common Feature for VIS-NIR Heterogeneous Palmprint RecognitionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.344194519(7604-7618)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3441945
(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
Tabejamaat M(2016)Selective Algorithm Outline (SAO); An Alternative Approach for Fusing Different Palm-Print Recognition AlgorithmsNeural Processing Letters10.1007/s11063-015-9442-543:3(709-726)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1007/s11063-015-9442-5
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
Laadjel MBouridane ANibouche OKurugollu FAl-Maadeed S(2013)An improved palmprint recognition system using iris featuresJournal of Real-Time Image Processing10.1007/s11554-011-0230-98:3(253-263)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1007/s11554-011-0230-9
Ota HAoyama SWatanabe RIto KMiyake YAoki T(2013)Implementation and evaluation of a remote authentication system using touchless palmprint recognitionMultimedia Systems10.1007/s00530-012-0283-z19:2(117-129)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1007/s00530-012-0283-z
Kalluri HPrasad MAgarwal AGopalan KThampi S(2012)Palmprint identification based on wide principal linesProceedings of the International Conference on Advances in Computing, Communications and Informatics10.1145/2345396.2345544(918-924)Online publication date: 3-Aug-2012
https://dl.acm.org/doi/10.1145/2345396.2345544
Kalluri HPrasad MAgarwal A(2012)Dynamic ROI extraction algorithm for palmprintsProceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II10.1007/978-3-642-31020-1_26(217-227)Online publication date: 17-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31020-1_26
Lin L(2010)Palmprint identification using PCA algorithm and hierarchical neural networkProceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III10.5555/1888593.1888674(618-625)Online publication date: 17-Sep-2010
https://dl.acm.org/doi/10.5555/1888593.1888674
Zhang SLiu J(2010)Palmprint recognition based on neighborhood rough setProceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing10.5555/1886896.1886998(650-656)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.5555/1886896.1886998
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