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Fingerprint images enhancement using diffusion tensor

机译:使用扩散张量的指纹图像增强

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摘要

Fingerprints are the oldest and most widely used form of biometric identification. However, their image contrast is poor due to skin conditions and application of incorrect finger pressure. Fingerprint enhancement is necessary to ensure the performance and robustness of the algorithms for fingerprint recognition. In this work, we present a fast fingerprint enhancement method based on the diffusion tensor which allows a better performance than a simple gradient. The performance and efficiency of the algorithm are estimated by calculating various quality metrics and compared with the advanced met.
机译:指纹是最古老且使用最广泛的生物特征识别形式。但是,由于皮肤状况和施加不正确的手指压力,它们的图像对比度很差。指纹增强对于确保指纹识别算法的性能和鲁棒性是必不可少的。在这项工作中,我们提出了一种基于扩散张量的快速指纹增强方法,该方法比简单的梯度具有更好的性能。通过计算各种质量指标来估计算法的性能和效率,并与高级算法进行比较。

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