A Thermal Hand Vein Pattern Verification System

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.

[1]  Sang-Kyun Im,et al.  Improved vein pattern extracting algorithm and its implementation , 2000, 2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102).

[2]  Kuo-Chin Fan,et al.  Biometric verification using thermal images of palm-dorsa vein patterns , 2004, IEEE Trans. Circuits Syst. Video Technol..

[3]  Clifton L. Smith,et al.  Thermographic imaging of the subcutaneous vascular network of the back of the hand for biometric identification , 1995, Proceedings The Institute of Electrical and Electronics Engineers. 29th Annual 1995 International Carnahan Conference on Security Technology.

[4]  Sharath Pankanti,et al.  Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society , 1998 .

[5]  Mount Lawley Thermographic Imaging of the Subcutaneous Vascular Network of the Back of the Hand for Biometric Identification , 1995 .

[6]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Yongsheng Gao,et al.  Line segment Hausdorff distance on face matching , 2002, Pattern Recognit..

[8]  Jun Hwang,et al.  Lip print recognition for security systems by multi-resolution architecture , 2004, Future Gener. Comput. Syst..

[9]  Sameer Singh International Conference on Advances in Pattern Recognition , 1999, Springer London.

[10]  Ching Y. Suen,et al.  A fast parallel algorithm for thinning digital patterns , 1984, CACM.

[11]  Nalini K. Ratha,et al.  Automated Biometrics , 2001, ICAPR.