Abstract
A hand vein authentication system in which the identity of an individual can
be readily confirmed upon gripping a handle is proposed. This recognition method
incorporates infrared light-emitting diode (LED) onto a door handle and sets a
charge-coupled device (CCD) camera on the other side of the hand. It builds on fuzzy
c-means clustering and parallel neural networks (NNs); moreover, it is expected to
solve the pattern recognition problem in large-scale databases using NNs due to its
self-learning and parallel processing capabilities and by effectively incorporating
training patterns. The experimental results validate the e±ciency of the proposed
algorithm.
© 2011 Chinese Optics Letters
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