Palmprint identification based on directional representation

Jia, W; Huang, DS; Tao, D; Zhang, D

Palmprint identification based on directional representation

Jia, W Huang, DS Tao, D

Zhang, D

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Publication Type:: Conference Proceeding
Citation:: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2008, pp. 1562 - 1567
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Jia, W	en_US
dc.contributor.author	Huang, DS	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Zhang, D	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2008, pp. 1562 - 1567	en_US
dc.identifier.issn	1062-922X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17288
dc.description.abstract	In this paper, we propose a novel approach for palmprint identification, which contains two interesting components. Firstly, we propose the directional representation for appearance based approaches. The new representation is robust to drastic illumination changes and preserves important discriminative information for classification. We then generate virtual samples to enlarge the training set to compensate for matching errors caused by large rotations and translations. Based on these two strategies, the recognition performance of representative appearance based approaches can be improved significantly. Secondly, in order to improve the robustness of palmprint identification, we propose a fusion method combining proposed method and orientation based approaches e.g. Competitive Code, which can obtain very low Equal Error Rates. © 2008 IEEE.	en_US
dc.relation.ispartof	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics	en_US
dc.relation.isbasedon	10.1109/ICSMC.2008.4811509	en_US
dc.title	Palmprint identification based on directional representation	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Singapore, Singapore	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In this paper, we propose a novel approach for palmprint identification, which contains two interesting components. Firstly, we propose the directional representation for appearance based approaches. The new representation is robust to drastic illumination changes and preserves important discriminative information for classification. We then generate virtual samples to enlarge the training set to compensate for matching errors caused by large rotations and translations. Based on these two strategies, the recognition performance of representative appearance based approaches can be improved significantly. Secondly, in order to improve the robustness of palmprint identification, we propose a fusion method combining proposed method and orientation based approaches e.g. Competitive Code, which can obtain very low Equal Error Rates. © 2008 IEEE.

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http://hdl.handle.net/10453/17288