基于指纹分类的模式匹配

深入研究了指纹匹配算法.利用指纹分类获得的信息来进行指纹匹配,实现了一种基于中心点和三角点的快速点模式指纹匹配算法,成功地解决了指纹匹配中的图像旋转、平移和形变不变性问题,并具有良好的快速性.该方法以待识和模板指纹图像的中心点为匹配参考点,并根据它们的位置与方向信息来计算旋转和平移参数.然后将待识图像相对于模板图像进行旋转和平移,进而进行点模式匹配.

Pattern Matching Based on Fingerprint Classification

Fingerprint matching algorithm is studied in this paper.A fast point pattern matching algorithm based on core and delta information obtained from fingerprint classification is achieved.It successfully and rapidly solve the problem of image rotation,translation and transformation in fingerprint matching.Core points of inquery image and model image are used as a pair of reference points,and the parameter of rotation and translation are computed.The inquery image is rotated and translated against the model image,then these two images are matched based on point pattern.