Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9106
Title: Infrared imaging of hand vein patterns for biometric purposes
Contributor(s): Wang, Lingyu (author); Leedham, Graham  (author); Cho, S-Y (author)
Publication Date: 2007
DOI: 10.1049/iet-cvi:20070009
Handle Link: https://hdl.handle.net/1959.11/9106
Abstract: A novel non-invasive imaging technique to image the vein patterns in various parts of the hand for biometric purposes is evaluated. Two imaging methods are investigated: far-infrared (FIR) thermography and near-infrared (NIR) imaging. Experiments involving data acquisition from various parts of the hand, including the back of the hand, palm and wrist, were carried out using both imaging techniques. Analysis of the data collected shows that FIR thermography is less successful at capturing veins in the palm and wrist. FIR thermography can capture the large veins in the back of the hand, but it is sensitive to ambient temperature and humidity conditions as well as human body temperature. NIR imaging produces good quality images when capturing veins in the back of the hand, palm and wrist. NIR imaging is also more tolerant to changes in the environment and body condition but faces the problem of pattern corruption because of visible skin features being mistaken for veins. This corruption is not present in FIR imaging. An initial biometric system is investigated to test both FIR and NIR images for biometric purposes. The results show all the subjects were correctly identified, which indicates vein pattern biometrics with infrared imaging is a potentially useful biometric.
Publication Type: Journal Article
Source of Publication: IET Computer Vision, 1(3-4), p. 113-122
Publisher: The Institution of Engineering and Technology
Place of Publication: United Kingdom
ISSN: 1751-9640
1751-9632
Fields of Research (FoR) 2008: 080199 Artificial Intelligence and Image Processing not elsewhere classified
080106 Image Processing
080104 Computer Vision
Socio-Economic Objective (SEO) 2008: 810199 Defence not elsewhere classified
810107 National Security
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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