A Thermal Hand Vein Pattern Verification System

• Published in: Lecture notes in computer science pp. 58 - 65
• Main Authors: Wang, Lingyu, Leedham, Graham
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Biometric System; Computer science; control theory; systems; Curve Segment; Data processing. List processing. Character string processing; Exact sciences and technology; False Acceptance Rate; Fingerprint Image; Image Enhancement; Information systems. Data bases; Memory organisation. Data processing; Pattern recognition. Digital image processing. Computational geometry; Software; Biometrics; Human; Fingerprint; Skeletonization; Line segment; Image processing; Image databank; Case based reasoning; Pattern recognition; Data mining; Image segmentation; Hausdorff dimension; Facies; Pattern matching
• ISBN: 9783540288336; 3540288333; 3540287574; 9783540287575
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11552499_7

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.