An Improved Fingerprint Segmentation Algorithm Based on Mean and Variance

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 algorithm proposed in the paper are more exact and reliable.