Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST
Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/918376 |
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author | N. B. Mahesh Kumar K. Premalatha |
author_facet | N. B. Mahesh Kumar K. Premalatha |
author_sort | N. B. Mahesh Kumar |
collection | DOAJ |
description | Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmprint images are fused to get the final matching distance of the proposed scheme. The results show that the fusion of local and global features outperforms the existing works on the available three datasets. |
format | Article |
id | doaj-art-e04b51df1f15493e9db69a6e16ca16bf |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Applied Mathematics |
spelling | doaj-art-e04b51df1f15493e9db69a6e16ca16bf2025-02-03T01:03:13ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/918376918376Palmprint Authentication System Based on Local and Global Feature Fusion Using DOSTN. B. Mahesh Kumar0K. Premalatha1Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamilnadu 638 401, IndiaBannari Amman Institute of Technology, Sathyamangalam, Erode, Tamilnadu 638 401, IndiaPalmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmprint images are fused to get the final matching distance of the proposed scheme. The results show that the fusion of local and global features outperforms the existing works on the available three datasets.http://dx.doi.org/10.1155/2014/918376 |
spellingShingle | N. B. Mahesh Kumar K. Premalatha Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST Journal of Applied Mathematics |
title | Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST |
title_full | Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST |
title_fullStr | Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST |
title_full_unstemmed | Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST |
title_short | Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST |
title_sort | palmprint authentication system based on local and global feature fusion using dost |
url | http://dx.doi.org/10.1155/2014/918376 |
work_keys_str_mv | AT nbmaheshkumar palmprintauthenticationsystembasedonlocalandglobalfeaturefusionusingdost AT kpremalatha palmprintauthenticationsystembasedonlocalandglobalfeaturefusionusingdost |