TY - JFULL AU - Mohamed Shahin and Ahmed Badawi and Mohamed Kamel PY - 2008/2/ TI - Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns T2 - International Journal of Biomedical and Biological Engineering SP - 31 EP - 37 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/7380 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 13, 2008 N2 - This paper presents a hand vein authentication system using fast spatial correlation of hand vein patterns. In order to evaluate the system performance, a prototype was designed and a dataset of 50 persons of different ages above 16 and of different gender, each has 10 images per person was acquired at different intervals, 5 images for left hand and 5 images for right hand. In verification testing analysis, we used 3 images to represent the templates and 2 images for testing. Each of the 2 images is matched with the existing 3 templates. FAR of 0.02% and FRR of 3.00 % were reported at threshold 80. The system efficiency at this threshold was found to be 99.95%. The system can operate at a 97% genuine acceptance rate and 99.98 % genuine reject rate, at corresponding threshold of 80. The EER was reported as 0.25 % at threshold 77. We verified that no similarity exists between right and left hand vein patterns for the same person over the acquired dataset sample. Finally, this distinct 100 hand vein patterns dataset sample can be accessed by researchers and students upon request for testing other methods of hand veins matching. ER -