Description: Abstract—The fingerprint segmentation algorithm based on gray
variance can t segment those fingerprint images with high noise.
After analyzing limitation of the fingerprint image segmentation
algorithm based on gray variance, the paper proposes the
improved algorithm to acquire the gray average and gray
variance combining to the basic gray distributing character in the
valid fingerprint image region. Experimental results indicate that
the gray average and gray variance based on the improved
algorithm are more representative of the original information of
the fingerprint image region than the gray variance based on the
classical algorithm. The segmented results of the
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