基于综合测度的指纹匹配遗传算法

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) Pub Date : 2008-06-01 DOI:10.1109/CEC.2008.4630907

Weiguo Sheng, G. Howells, K. Harmer, M. Fairhurst, F. Deravi

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引用次数: 0

摘要

本文提出了一种基于异构特征的指纹匹配方法，该方法首先引入一种综合测度，将两种不同的匹配准则结合在一起。然后，我们设计了一种遗传引导算法来优化同时指纹对准和验证的综合措施。通过在两个公共领域的指纹图像集上进行实验，并与相关工作进行比较，对该方法进行了评估，取得了非常令人鼓舞的结果。

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 genetic algorithm for fingerprint matching based on an integrated measure

In this paper, we develop a fingerprint matching method which operates by first introducing an integrated measure, which combines two different matching criteria based on heterogeneous features. We then devise a genetically guided algorithm to optimise the integrated measure for simultaneous fingerprint alignment and verification. The proposed method is evaluated through experiments conducted on two public domain collections of fingerprint images and compared with related work, with very encouraging results.

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2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)

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