@article{(Open Science Index):https://publications.waset.org/pdf/7380,
	  title     = {Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns},
	  author    = {Mohamed Shahin and  Ahmed Badawi and  Mohamed Kamel},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {32 - 37},
	  ee        = {https://publications.waset.org/pdf/7380},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},