Fingerprint image enhancement: Algorithm and performance evaluation
Fingerprint image enhancement: Algorithm and performance evaluation
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DOI：
10.1109/34.709565
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发表时间：
1998-08-01
影响因子：
23.6
通讯作者：
Jain, A
中科院分区：
文献类型：
--
作者：
Hong, L;Wan, YF;Jain, A
自动指纹匹配的关键步骤是从输入指纹图像中自动且可靠地提取细节。但是，细节提取算法的性能在很大程度上取决于输入指纹图像的质量。为了确保自动指纹识别/验证系统的性能在输入指纹图像的质量方面将是可靠的，必须将指纹增强算法合并到细节提取模块中。我们提出了一种快速的指纹增强算法，可以根据估计的局部脊方向和频率自适应地提高输入指纹图像的脊和山谷结构的清晰度。我们使用提取的细节的优点指数以及在线指纹验证系统的准确性评估了图像增强算法的性能。实验结果表明，合并增强算法可提高优点指数和验证精度。
A critical step in automatic fingerprint matching is to automatically and reliably extract minutiae from the input fingerprint images. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images. In order to ensure that the performance of an automatic fingerprint identification/verification system will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. We present a fast fingerprint enhancement algorithm, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency. We have evaluated the performance of the image enhancement algorithm using the goodness index of the extracted minutiae and the accuracy of an online fingerprint verification system. Experimental results show that incorporating the enhancement algorithm improves both the goodness index and the verification accuracy.