基于中心扫描的指纹识别算法

A Fingerprint Authentication Algorithm Based on Mid-scan Thinning Map

中心扫描细化算法是一种基于方向的细化算法,具有较快的速度;在细化后的指纹图像中,其特征点往往成为断点,提出了一种基于细化后形成的断点和纹线方向的特征提取算法,运用中心扫描细化算法成功提取细节特征的基础上,运用极坐标转换、图像的旋转和可变界限盒原理,完成了指纹特征匹配算法;证实了基于中心扫描的指纹特征提取算法的可行性,并取得了很好的效果。

The mid--scan thinning method is an algorithm based on the direction map. This algorithm is more quick, in the process of thinning the fingerprint map, the feature points always become breakpoints. We have studied a new feature extraction algorithm based on the breakpoints of the fingerprint thinning map and the direction map. Based on the successful extraction of details on the basis of character- istics, using polar coordinates conversion, image rotation and variable boundaries box principle, the fingerprint scanning center features matching algorithm is completed, the fingerprint scanning identification feasibility is confirmed. The experiment shows that the algorithm has got good effect.