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;...

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Main Authors:	Marlina, Yakno, Junita, Mohd Saleh, Bakhtiar, Affendi Rosdi
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	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

id	ump-9435
recordtype	eprints
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 https://doi.org/10.1109/ICBAPS.2015.7292223
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Conference or Workshop Item
author	Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi
author_facet	Marlina, Yakno Junita, Mohd Saleh Bakhtiar, Affendi Rosdi
author_sort	Marlina, Yakno
title	New Technique for Larger ROI Extraction of Hand Vein Images
title_short	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_sort	new technique for larger roi extraction of hand vein images
publisher	IEEE
publishDate	2015
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
first_indexed	2023-09-18T22:08:00Z
last_indexed	2023-09-18T22:08:00Z
_version_	1777414838154166272

New Technique for Larger ROI Extraction of Hand Vein Images

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