Title: Parallel extraction hand vein biometric parameter’s using a low cost IR imaging system
Authors: Benziane, Sarah
Benyettou, Abdelkader
Merouane, Asmaa
Citation: WSCG 2014: Poster Papers Proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 9-14.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf
ISBN: 978-80-86943-72-5
Keywords: infračervené zobrazování;žíly na rukách;vaskulární biometrika;dorzální žíla;detekce obrazu
Keywords in different language: infrared imaging;hand vein;vascular biometrics;dorsal vein;image detection
Abstract: This paper presents a new and low cost approach to authenticate individuals using hand vein images. The proposed method is fully automated and employs palm dorsal hand vein images acquired from a low cost , near infrared contactless imaging; the aim of our work. In order to evaluate the system performance, a prototype was designed and a dataset of 34 persons from different ages above 20 and different gender, each has 10 images per person was acquired at different intervals, 5 images for left hand and 5 images for right hand. The vein detection process consists of an easy to implement a device that takes a snapshot of the subject’s veins under a source of infrared radiation at a specific wavelength. The system is able to detect veins but not arteries due to the specific absorption of infrared radiation in blood vessels. Almost any part of the body could be analyzed in order to extract an image of the vascular pattern but the hand and the fingers are preferred.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2014: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11947

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