指纹图像细节点及显著特征的提取

提出了一种改进的指纹细节特征提取算法。该算法首先在细化后的指纹图像上直接提取原始细节特征点集，然后针对不同的噪声，采用针对性的算法，将各类噪声引起的伪特征点分别予以删除，最终保留下来的特征点集即视为真正的特征点集。通过分析细节特征点之间的联系，在整幅图像范围内构造了3种类型的显著特征，提出了一种显著特征提取算法，在已提取的特征点集的基础上，提取出指纹图像的显著特征。

Extraction of minutiae and significant feature from fingerprint image

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.