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...

Full description

Saved in:
Bibliographic Details
Main Authors: N. B. Mahesh Kumar, K. Premalatha
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/918376
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832566788478468096
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