Touch-less palm print biometrics: Novel design and implementation
In this paper, we propose an innovative touch-less palm print recognition system. This project is motivated by the public's demand for non-invasive and hygienic biometric technology. For various reasons, users are concerned about touching the biometric scanners. Therefore, we propose to use a l...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ELSEVIER SCIENCE BV
2008
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/1989/ http://shdl.mmu.edu.my/1989/1/689.pdf |
| _version_ | 1848789932923944960 |
|---|---|
| author | ONGMICHAEL, G CONNIE, T JINTEOH, A |
| author_facet | ONGMICHAEL, G CONNIE, T JINTEOH, A |
| author_sort | ONGMICHAEL, G |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose an innovative touch-less palm print recognition system. This project is motivated by the public's demand for non-invasive and hygienic biometric technology. For various reasons, users are concerned about touching the biometric scanners. Therefore, we propose to use a low-resolution web camera to capture the user's hand at a distance for recognition. The users do not need to touch any device for their palm print to be acquired. A novel hand tracking and palm print region of interest (ROI) extraction technique are used to track and capture the user's palm in real-time video stream. The discriminative palm print features are extracted based on a new method that applies local binary pattern (LBP) texture descriptor on the palm print directional gradient responses. Experiments show promising result using the proposed method. Performance can be further improved when a modified probabilistic neural network (PNN) is used for feature matching. Verification can be performed in less than one second in the proposed system. (C) 2008 Elsevier B.V. All rights reserved. |
| first_indexed | 2025-11-14T18:04:35Z |
| format | Article |
| id | mmu-1989 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:04:35Z |
| publishDate | 2008 |
| publisher | ELSEVIER SCIENCE BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-19892011-09-23T02:53:47Z http://shdl.mmu.edu.my/1989/ Touch-less palm print biometrics: Novel design and implementation ONGMICHAEL, G CONNIE, T JINTEOH, A T Technology (General) QA75.5-76.95 Electronic computers. Computer science In this paper, we propose an innovative touch-less palm print recognition system. This project is motivated by the public's demand for non-invasive and hygienic biometric technology. For various reasons, users are concerned about touching the biometric scanners. Therefore, we propose to use a low-resolution web camera to capture the user's hand at a distance for recognition. The users do not need to touch any device for their palm print to be acquired. A novel hand tracking and palm print region of interest (ROI) extraction technique are used to track and capture the user's palm in real-time video stream. The discriminative palm print features are extracted based on a new method that applies local binary pattern (LBP) texture descriptor on the palm print directional gradient responses. Experiments show promising result using the proposed method. Performance can be further improved when a modified probabilistic neural network (PNN) is used for feature matching. Verification can be performed in less than one second in the proposed system. (C) 2008 Elsevier B.V. All rights reserved. ELSEVIER SCIENCE BV 2008 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/1989/1/689.pdf ONGMICHAEL, G and CONNIE, T and JINTEOH, A (2008) Touch-less palm print biometrics: Novel design and implementation. Image and Vision Computing, 26 (12). pp. 1551-1560. ISSN 02628856 http://dx.doi.org/10.1016/j.imavis.2008.06.010 doi:10.1016/j.imavis.2008.06.010 doi:10.1016/j.imavis.2008.06.010 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science ONGMICHAEL, G CONNIE, T JINTEOH, A Touch-less palm print biometrics: Novel design and implementation |
| title | Touch-less palm print biometrics: Novel design and implementation |
| title_full | Touch-less palm print biometrics: Novel design and implementation |
| title_fullStr | Touch-less palm print biometrics: Novel design and implementation |
| title_full_unstemmed | Touch-less palm print biometrics: Novel design and implementation |
| title_short | Touch-less palm print biometrics: Novel design and implementation |
| title_sort | touch-less palm print biometrics: novel design and implementation |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/1989/ http://shdl.mmu.edu.my/1989/ http://shdl.mmu.edu.my/1989/ http://shdl.mmu.edu.my/1989/1/689.pdf |