An automated palmprint recognition system
Recently, biometric palmprint has received wide attention from researchers. It is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this paper, an automated scanner-based palmprint recognition system is proposed....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2233/ http://shdl.mmu.edu.my/2233/1/1541.pdf |
| _version_ | 1848789999940534272 |
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| author | CONNIE, T JIN, A ONG, M LING, D |
| author_facet | CONNIE, T JIN, A ONG, M LING, D |
| author_sort | CONNIE, T |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Recently, biometric palmprint has received wide attention from researchers. It is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this paper, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images for further processing. Several linear subspace projection techniques have been tested and compared. In specific, we focus on principal component analysis (PCA), fisher discriminant analysis (FDA) and independent component analysis (ICA). In order to analyze the palmprint images in multi-resolution-multi-frequency representation, wavelet transformation is also adopted. The images are decomposed into different frequency subbands and the best performing subband is selected for further processing. Experimental result shows that application of FDA on wavelet subband is able to yield both FAR and FRR as low as 1.356 and 1.492% using our palmprint database. (c) 2005 Elsevier B.V. All rights reserved. |
| first_indexed | 2025-11-14T18:05:39Z |
| format | Article |
| id | mmu-2233 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:05:39Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-22332011-08-12T06:45:24Z http://shdl.mmu.edu.my/2233/ An automated palmprint recognition system CONNIE, T JIN, A ONG, M LING, D QA75.5-76.95 Electronic computers. Computer science Recently, biometric palmprint has received wide attention from researchers. It is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this paper, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images for further processing. Several linear subspace projection techniques have been tested and compared. In specific, we focus on principal component analysis (PCA), fisher discriminant analysis (FDA) and independent component analysis (ICA). In order to analyze the palmprint images in multi-resolution-multi-frequency representation, wavelet transformation is also adopted. The images are decomposed into different frequency subbands and the best performing subband is selected for further processing. Experimental result shows that application of FDA on wavelet subband is able to yield both FAR and FRR as low as 1.356 and 1.492% using our palmprint database. (c) 2005 Elsevier B.V. All rights reserved. 2005-05 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/2233/1/1541.pdf CONNIE, T and JIN, A and ONG, M and LING, D (2005) An automated palmprint recognition system. Image and Vision Computing, 23 (5). pp. 501-515. ISSN 02628856 http://dx.doi.org/10.1016/j.imavis.2005.01.002 doi:10.1016/j.imavis.2005.01.002 doi:10.1016/j.imavis.2005.01.002 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science CONNIE, T JIN, A ONG, M LING, D An automated palmprint recognition system |
| title | An automated palmprint recognition system |
| title_full | An automated palmprint recognition system |
| title_fullStr | An automated palmprint recognition system |
| title_full_unstemmed | An automated palmprint recognition system |
| title_short | An automated palmprint recognition system |
| title_sort | automated palmprint recognition system |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2233/ http://shdl.mmu.edu.my/2233/ http://shdl.mmu.edu.my/2233/ http://shdl.mmu.edu.my/2233/1/1541.pdf |