On the effects of image quality degradation on minutiae- and ridge-based automatic fingerprint recognition

Julian Fierrez, L.M. Munoz-Serrano, F. Alonso-Fernandez, J. Ortega-Garcia
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引用次数: 35

Abstract

The effect of image quality degradation on the verification performance of automatic fingerprint recognition is investigated. We study the performance of two fingerprint matchers based on minutiae and ridge information under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system for a number of different image quality criteria.
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图像质量退化对基于细节和脊线的自动指纹识别的影响
研究了图像质量退化对自动指纹识别验证性能的影响。研究了两种基于细节和脊线信息的指纹匹配器在不同指纹图像质量下的性能。对于许多不同的图像质量标准,基于脊线的系统比基于极小值的系统对图像质量退化的鲁棒性更强。
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