Abstract:

After analysis and research on the traditional fingerprint image segmentation algorithm, an improved Mean Shift algorithm for fingerprint image segmentation was introduced. The algorithm makes fully use of the inherent directional characteristics of fingerprint image to abstract each area of fingerprint image after segmenting  into a sample point and to consider  the grayscale mean value of the pixels within the fingerprint region as  the mean vector, thus achieving the fingerprint image segmentation effectively. Experimental results show that the background area and fuzzy algorithm can accurately be separated from fingerprint image with the algorithm. The algorithm improves the accuracy of segmentation and  has good accuracy for most of fingerprint images.

Key words: fingerprint image; , image division, mean vector