一种鲁棒的指纹细节特征点匹配方法

指纹细节特征点匹配是指纹识别过程的核心部分,鲁棒的细节特征点匹配方法需要克服指纹的旋转、变形和真实特征点丢失的情况。该文通过引入支持模型来进行细节特征点匹配,获得了较好的结果。在对支持模型理论进行简单分析之后,详细介绍了所提出的一个鲁棒的基于支持模型的细节特征点匹配算法。该方法通过融合多个种子松弛匹配的结果,来获取每个细节特征点的约束支持。并通过每个对应点不同的支持度得到一一对应的细节特征点匹配结果。最后给出两个指纹细节特征点集的相似性水平。该算法具有较强的鲁棒性和稳定性,能够很好地解决指纹细节特征点匹配过程中存在的旋转、变形和真实细节特征点丢失等情况。最后给出的实验结果验证了该算法的有效性。

A Robust Fingerprint Minutiae Matching Method

A robust fingerprint minutiae matching algorithm should solve image translation,rotation and distortion problems,as well deal with the outlier minutiae points.A novel method to match two minutiae point-sets based on the support model that authors proposes is presented in this paper.In this method,coarse matching is first performed from a number of seeds,and the results are then fused to obtain a constrained corresponding relationship of minutiae in two point-sets.By using the support degree of the elements in the constrained relations,the one-to-one correspondence is finally determined by comparison of similarity of local structures.Experiments show that this algorithm is robust and can deal with the translation,rotation,distortion and outlier problems well.