一种基于纹线最大曲率点的指纹对齐算法

t present, the algorithm of fingerprint alignment based on minutia point is mature. But in some occasions (like in biometric cryptosystem), the minutia attributes is not available, and only global features in the fingerprint pattern could be used. In this paper, we present an approach of alignment based on high curvature points. First, we extract the orientation field for the given fingerprint. Then generate orientation field flow curves (OFFC) based on the estimated orientation field, and extract high curvature points to generate help data. At last a trimmed iterative closest point (ICP) algorithm is used to determine the alignment between the template and the query based on these helper data.