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An efficient fingerprint verification system using integrated gabor filters and Parzen Window Classifier

机译:使用集成的gabor过滤器和Parzen窗口分类器的高效指纹验证系统

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摘要

This paper proposes a novel method of image-based fingerprint matching based on the features extracted by "FingerCode". The experiments show that our system outperforms the standard "FingerCode" recognition method and other image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.
机译:提出了一种基于“ FingerCode”提取特征的基于图像的指纹匹配新方法。实验表明,我们的系统优于标准的“ FingerCode”识别方法和其他基于图像的方法。将通过提出的技术生成的匹配分数与从基于细节的匹配器获得的匹配分数相结合,可以全面提高指纹匹配的性能。

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