针对基于点模式匹配的指纹匹配算法速度较慢的现状，设计了一种新的指纹匹配方法，即利用纹线匹配技术来寻找基准点对的指纹匹配算法．该算法首先基于指纹纹线的相似程度寻找一对基准特征点；然后根据基准点对的坐标，计算两幅指纹图象(模板图象、待识图象)的相对平移和旋转参数，并将待识图象相对于模板图象进行图象姿势纠正；最后使用坐标匹配的方法统计两幅图象能够匹配的特征点数目．以实现两枚指纹的匹配．实验证明．该算法匹配速度很快，误识率低，准确性高，并具有图象旋转平移不变性．对面积适中的指纹图象，匹配结果可以满足在线应用的需要．该算法有望发展成为一种实用、有效的指纹匹配技术．

Because the fingerprint matching algorithm based on point pattern matching is not quick enough, a new fingerprint matching algorithm is presented here. Lines matching technique is used in the algorithm for seeking pairs of reference minutiae. First the similar degree of two lines is calculated to choose a pair of reference minutiae. Then the translation and rotation parameters of two fingerprint images(the template image and the input image) are figured out basing on the coordinates of the pair of reference minutiae. Afterwards the posture of input image is adjusted relative to the template image. And then the number of pairs of matching minutiae is counted with the method of coordinate based matching. At last the fingerprint matching result is given. Through experiments, the algorithm is proved accurate, quick, and invariable to translation and rotation of images. According to fingerprint images of moderate sizes, the needs of online application can be met. The algorithm is expected to be a convenient and effective fingerprint matching technique.