Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5687
Title: A Thermal Vein Pattern Verification System
Contributor(s): Wang, Lingyu (author); Leedham, Graham  (author)
Publication Date: 2005
DOI: 10.1007/11552499_7
Handle Link: https://hdl.handle.net/1959.11/5687
Abstract: Many biometrics, such as face, fingerprint and iris images, have been studied extensively for personal verification purposes in the past few decades. However, verification using vein patterns is less developed compared to other human traits. A new personal verification system using the thermal-imaged vein pattern in the back of the hand is presented in the paper. The system consists of five individual steps:Data Acquisition, Image Enhancement, Vein Pattern Segmentation, Skeletonization and Matching. Unlike most biometric systems that carry out comparisons based on a pre-selected feature set, this system directly recognizes the shapes of the vein pattern by measuring their Line-Segment Hausdorff Distance. Preliminary testing on a database containing 108 different images has been carried out and all the images are correctly recognized.
Publication Type: Conference Publication
Conference Details: ICAPR 2005: 3rd International Conference on Advances in Pattern Recognition, Bath, United Kingdom, 22nd - 25th August, 2005
Source of Publication: Pattern Recognition and Data Mining: Proceedings of the third International Conference on Advances in Pattern Recognition, ICAPR 2005, p. 58-65
Publisher: Springer
Place of Publication: Berlin, Germany
Fields of Research (FoR) 2008: 080199 Artificial Intelligence and Image Processing not elsewhere classified
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO) 2008: 810199 Defence not elsewhere classified
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://trove.nla.gov.au/work/8393991
Series Name: Lecture Notes in Computer Science
Series Number : 3686
Appears in Collections:Conference Publication

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