A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition
A novel projective dictionary pair learning (PDPL) model with statistical local features for palmprint recognition is proposed. Pooling technique is used to enhance the invariance of hierarchical local binary pattern (PT-HLBP) for palmprint feature extraction. PDPL is employed to learn an analysis d...
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Format: | Article |
Language: | English |
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Wiley
2016-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/6423834 |
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author | Xiumei Guo Weidong Zhou |
author_facet | Xiumei Guo Weidong Zhou |
author_sort | Xiumei Guo |
collection | DOAJ |
description | A novel projective dictionary pair learning (PDPL) model with statistical local features for palmprint recognition is proposed. Pooling technique is used to enhance the invariance of hierarchical local binary pattern (PT-HLBP) for palmprint feature extraction. PDPL is employed to learn an analysis dictionary and a synthesis dictionary which are utilized for image discrimination and representation. The proposed algorithm has been tested by the Hong Kong Polytechnic University (PolyU) database (v2) and ideal recognition accuracy can be achieved. Experimental results indicate that the algorithm not only greatly reduces the time complexity in training and testing phase, but also exhibits good robustness for image rotation and corrosion. |
format | Article |
id | doaj-art-9ff4cee2e86b4b04812ac569aeecd14f |
institution | Kabale University |
issn | 2090-0147 2090-0155 |
language | English |
publishDate | 2016-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Electrical and Computer Engineering |
spelling | doaj-art-9ff4cee2e86b4b04812ac569aeecd14f2025-02-03T01:25:42ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/64238346423834A Novel Dictionary Learning Model with PT-HLBP for Palmprint RecognitionXiumei Guo0Weidong Zhou1School of Information Science and Engineering, Shandong University, Jinan 250100, ChinaSchool of Information Science and Engineering, Shandong University, Jinan 250100, ChinaA novel projective dictionary pair learning (PDPL) model with statistical local features for palmprint recognition is proposed. Pooling technique is used to enhance the invariance of hierarchical local binary pattern (PT-HLBP) for palmprint feature extraction. PDPL is employed to learn an analysis dictionary and a synthesis dictionary which are utilized for image discrimination and representation. The proposed algorithm has been tested by the Hong Kong Polytechnic University (PolyU) database (v2) and ideal recognition accuracy can be achieved. Experimental results indicate that the algorithm not only greatly reduces the time complexity in training and testing phase, but also exhibits good robustness for image rotation and corrosion.http://dx.doi.org/10.1155/2016/6423834 |
spellingShingle | Xiumei Guo Weidong Zhou A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition Journal of Electrical and Computer Engineering |
title | A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition |
title_full | A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition |
title_fullStr | A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition |
title_full_unstemmed | A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition |
title_short | A Novel Dictionary Learning Model with PT-HLBP for Palmprint Recognition |
title_sort | novel dictionary learning model with pt hlbp for palmprint recognition |
url | http://dx.doi.org/10.1155/2016/6423834 |
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