Reliable personal recognition is an important problem in diverse businesses. Biometrics, recognition based on distinctive personal traits, has the potential to become an irreplaceable part of many identification systems. Various biometric patterns such as face, fingerprint, iris, retina, hand geometry are in use since long for personal identification, hand vein identification has emerged as a promising component of biometric study. The focus of this paper is to present a new approach for authentication of individuals using triangulation of hand vein images and simultaneous extraction of knuckle shape information. This idea of Vein Structure extraction will be based on triangulation pattern found on dorsum of hand. The biometric template after prepossessing on the captured image will be generated and will be used for authentication.

1. Biometric system for user authentication and authorizing.
2. This system can also used in multimodal biometric system.
3. In pattern matching to find and match the pattern of vein of hand dorsum.
4. Conclusion
5. As fraud in our society grows, as the pressure to deliver inexpensive authentication services mounts, the problem of reliable personal identification become mandatory hence we come up with this new idea of biometric authentication that can be used at many places from commercially to governmental environment.
6. Hope that this new physical biometric feature will be able make its place among other available biometric technologies and can be used alone or as a multi-biometric system with any other well known biometric feature.
7. REFERENCES
8. HandVeinImagehttp://en. wikipedia. org/wiki/Dorsal_venous_network_of_hand.
9. S. -K. Im, H. -M. Park, S. -W. Kim, C. -K. Chung, and H. -S. Choi, "Improved vein pattern extracting algorithm and its implementation," in Proc. Int. Conf. Consumer Electronics, Jun. 2000.
10. S. K. Im, H. M. Park, Y. W. Kim, S. C. Han, S. W. Kim, and C. H. Hang, "An biometric identification system by extracting hand vein patterns," J. Korean Phys. Soc. , vol. 38, pp. 268–272,Mar. 2001.
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12. http://anatomy. med. umich. edu/musculoskeletal_system/superficial_limbs_ans. html
13. J. M. Cross and C. L. Smith, "Thermo graphic imaging of the subcutaneous vascular network of the back of the hand for biometric identification," in Proc. IEEE 29th Annu. Int. Carnahan Conf. Security Technology, Sander-Stead, Surrey, U. K. , Oct. 1995, pp. 20–35.
14. J. Mehnert, J. M. Cross, and C. L. Smith, "Thermal graphic imaging: Segmentation of the subcutaneous vascular network of the back of the hand," Research Rep. , Edith Cowan Univ. Australian Inst. Security Appl. Technol. , Perth, Western Australia, 1993.
15. L. Wang and G. Leedham, "A thermal hand-vein pattern verification system," in Pattern Recognition and Image Analysis, S. Singh, M. Singh, C. Apte, and P. Perner, Eds. New York:Springer, 2005, vol. 3687, pp. 58–65.
16. Murray M. P. et al (1964), Walking Patterns of Normal Men, Journal of Bone and Joint
17. Comparison table of existing method - ieeexplore. ieee. org/iel5/83/5200729/04926208. pdf

Biometric System Hand Biometrics Hand Vein Pattern Vein Biometrics