Touch-less palm print biometric system
In this research, 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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | http://shdl.mmu.edu.my/2847/ |
| _version_ | 1848790165573599232 |
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| author | Michael Goh Kah, Ong Connie, Tee Andrew Teoh Beng, Jin |
| author_facet | Michael Goh Kah, Ong Connie, Tee Andrew Teoh Beng, Jin |
| author_sort | Michael Goh Kah, Ong |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this research, 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 extracted for analysis. 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 streams. The discriminative palm print features are extracted based on a new way that applies local binary pattern (LBP) texture descriptor on the palm print directional gradient responses. Experiments show promising result by using the proposed method. Performance can be further improved when a modified probabilistic neural network (PNN) is used for feature matching. |
| first_indexed | 2025-11-14T18:08:17Z |
| format | Conference or Workshop Item |
| id | mmu-2847 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:17Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28472011-09-21T07:44:13Z http://shdl.mmu.edu.my/2847/ Touch-less palm print biometric system Michael Goh Kah, Ong Connie, Tee Andrew Teoh Beng, Jin T Technology (General) QA75.5-76.95 Electronic computers. Computer science In this research, 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 extracted for analysis. 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 streams. The discriminative palm print features are extracted based on a new way that applies local binary pattern (LBP) texture descriptor on the palm print directional gradient responses. Experiments show promising result by using the proposed method. Performance can be further improved when a modified probabilistic neural network (PNN) is used for feature matching. 2008-01 Conference or Workshop Item NonPeerReviewed Michael Goh Kah, Ong and Connie, Tee and Andrew Teoh Beng, Jin (2008) Touch-less palm print biometric system. In: 3rd International Conference on Computer Vision Theory and Applications, 22-25 JAN 2008 , Funchal, PORTUGAL. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W2mchH3@hBF6CHEhMcN&page=89&doc=881 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Michael Goh Kah, Ong Connie, Tee Andrew Teoh Beng, Jin Touch-less palm print biometric system |
| title | Touch-less palm print biometric system |
| title_full | Touch-less palm print biometric system |
| title_fullStr | Touch-less palm print biometric system |
| title_full_unstemmed | Touch-less palm print biometric system |
| title_short | Touch-less palm print biometric system |
| title_sort | touch-less palm print biometric system |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2847/ http://shdl.mmu.edu.my/2847/ |