Extraction of minutiae and significant feature from fingerprint image
指纹图像细节点及显著特征的提取

An improved algorithm for minutiae extraction was brought out. First, the set of original minutiae was directly extracted from thinned fingerprint images. Second, various noises in fingerprint images and their properties were analyzed and distributing regulation of pseudo minutiae was generalized. Last, combining with the information of local ridge direction, special algorithms were designed with respect to various noises to delete pseudo minutiae from original minutiae set. The remainders of original minutiae were viewed as intrinsic minutiae. According to the characteristics of fingerprint image, a new algorithm to extract the significant features was presented, by constructing three types of line feature in the complete image, and the line feature can be extracted out successfully from the sets of minutiae.