Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-01-12
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 026-030, December 2009, USA
Computer Science
Computer Vision and Pattern Recognition
5 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS December 2009, ISSN 1947 5500,
Scientific paper
Among all biometric, dorsal hand vein pattern is attracting the attention of researchers, of late. Extensive research is being carried out on various techniques in the hope of finding an efficient one which can be applied on dorsal hand vein pattern to improve its accuracy and matching time. One of the crucial step in biometric is the extraction of features. In this paper, we propose a method based on quadratic inference function to the dorsal hand vein features to extract its features. The biometric system developed was tested on a database of 100 images. The false acceptance rate (FAR), false rejection rate (FRR) and the matching time are being computed.
Mamode Khan Maleika Heenaye
Mamode Khan Naushad Ali
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