New Technique for Larger ROI Extraction of Hand Vein Images
Region of Interest (ROI) extraction is a crucial step in automatic hand vein biometric and biomedical systems. The aim of ROI extraction is to decide which part of the image is suitable for hand vein feature extraction. The majority vein patterns sometimes can be determined at different locations;...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9435/ http://umpir.ump.edu.my/id/eprint/9435/7/New%20Technique%20for%20Larger%20ROI%20Extraction%20of%20Hand-2015-fkee-1.pdf |
| _version_ | 1848818490376454144 |
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| author | Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi |
| author_facet | Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi |
| author_sort | Marlina, Yakno |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Region of Interest (ROI) extraction is a crucial step in automatic hand vein biometric and biomedical systems. The
aim of ROI extraction is to decide which part of the image is suitable for hand vein feature extraction. The majority vein patterns sometimes can be determined at different locations; left, right and centre of the back of hand. The existing methods have not been able to extract more vein patterns at the right and left borders of the ROI. This paper proposes a hand vein ROI extraction method which is robust at avoiding loss of vein patterns information along the right and left borders of the ROI. First, we determine the threshold value, which will be used to segment the hand region. Second, the hand image is traced using boundary tracing. Third, the Euclidean distance is measured between reference point and hand boundary. Fourth, the distribution diagrams are constructed for the feature points selection. Finally, four coordinates are determined prior to ROI
extraction. The experimental results show that the proposed
method can extract ROI more accurately and effectively
compared with other methods. |
| first_indexed | 2025-11-15T01:38:29Z |
| format | Conference or Workshop Item |
| id | ump-9435 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:38:29Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-94352018-05-22T05:17:18Z http://umpir.ump.edu.my/id/eprint/9435/ New Technique for Larger ROI Extraction of Hand Vein Images Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi TK Electrical engineering. Electronics Nuclear engineering Region of Interest (ROI) extraction is a crucial step in automatic hand vein biometric and biomedical systems. The aim of ROI extraction is to decide which part of the image is suitable for hand vein feature extraction. The majority vein patterns sometimes can be determined at different locations; left, right and centre of the back of hand. The existing methods have not been able to extract more vein patterns at the right and left borders of the ROI. This paper proposes a hand vein ROI extraction method which is robust at avoiding loss of vein patterns information along the right and left borders of the ROI. First, we determine the threshold value, which will be used to segment the hand region. Second, the hand image is traced using boundary tracing. Third, the Euclidean distance is measured between reference point and hand boundary. Fourth, the distribution diagrams are constructed for the feature points selection. Finally, four coordinates are determined prior to ROI extraction. The experimental results show that the proposed method can extract ROI more accurately and effectively compared with other methods. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9435/7/New%20Technique%20for%20Larger%20ROI%20Extraction%20of%20Hand-2015-fkee-1.pdf Marlina, Yakno and Junita, Mohd Saleh and Bakhtiar, Affendi Rosdi (2015) New Technique for Larger ROI Extraction of Hand Vein Images. In: International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) , 26-28 Mei 2015 , Kuala Lumpur. pp. 82-87.. ISBN 978-1-4799-6879-4 (Published) https://doi.org/10.1109/ICBAPS.2015.7292223 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi New Technique for Larger ROI Extraction of Hand Vein Images |
| title | New Technique for Larger ROI Extraction of Hand Vein Images
|
| title_full | New Technique for Larger ROI Extraction of Hand Vein Images
|
| title_fullStr | New Technique for Larger ROI Extraction of Hand Vein Images
|
| title_full_unstemmed | New Technique for Larger ROI Extraction of Hand Vein Images
|
| title_short | New Technique for Larger ROI Extraction of Hand Vein Images
|
| title_sort | new technique for larger roi extraction of hand vein images |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/9435/ http://umpir.ump.edu.my/id/eprint/9435/ http://umpir.ump.edu.my/id/eprint/9435/7/New%20Technique%20for%20Larger%20ROI%20Extraction%20of%20Hand-2015-fkee-1.pdf |