一种新的指纹图像奇异点检测算法

2009 Third International Conference on Genetic and Evolutionary Computing Pub Date : 2009-10-14 DOI:10.1109/WGEC.2009.71

Xin-Ming Cheng, Cheng Xu, Dong-Cheng Xu

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引用次数: 2

摘要

指纹图像中的奇点包含着重要的信息，因此对奇点的位置、数量和类型进行检测具有十分重要的意义。庞加莱指数法不能准确地检测出拱形指纹和一些帐篷状拱形指纹中的奇异点。为了解决这个问题，我们提出了一种改进的庞加莱指数法。实验结果表明，该方法优于庞加莱指数法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Algorithm for Detecting Singular Points in Fingerprint Images

The singular points of a fingerprint image contain important information, so it is very significant to detect the position, number and type of singular points. The Poincare Index method can’t accurately detect the singular points in arch fingerprints and some tented arch fingerprints. To resolve the problem, we propose an improvement of the Poincare Index method. The experimental results show that our method is better than the Poincare Index method.

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2009 Third International Conference on Genetic and Evolutionary Computing

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