IEEE Trans Image Process. 2013 Dec;22(12):4964-71. doi: 10.1109/TIP.2013.2280187.
Fingerprints and palmprints are the most common authentic biometrics for personal identification, especially for forensic security. Previous research have been proposed to speed up the searching process in fingerprint and palmprint identification systems, such as those based on classification or indexing, in which the deterioration of identification accuracy is hard to avert. In this paper, a novel hierarchical minutiae matching algorithm for fingerprint and palmprint identification systems is proposed. This method decomposes the matching step into several stages and rejects many false fingerprints or palmprints on different stages, thus it can save much time while preserving a high identification rate. Experimental results show that the proposed algorithm can save almost 50% searching time compared with traditional methods and illustrate its effectiveness.
指纹和掌纹是最常见的个人身份识别生物特征，特别是在法医安全领域。之前的研究已经提出了一些方法来加速指纹和掌纹识别系统中的搜索过程，例如基于分类或索引的方法，但这些方法很难避免识别精度的下降。本文提出了一种新的用于指纹和掌纹识别系统的分层细节匹配算法。该方法将匹配步骤分解为几个阶段，并在不同阶段拒绝许多虚假指纹或掌纹，从而在保持高识别率的同时节省大量时间。实验结果表明，与传统方法相比，该算法可以节省近 50%的搜索时间，证明了其有效性。
