细节
指纹(计算)
计算机科学
指纹验证比赛
人工智能
指纹识别
模式识别(心理学)
计算机视觉
方向(向量空间)
算法
图像质量
图像(数学)
数学
几何学
作者
Lin Hong,Yifei Wan,Anil K. Jain
摘要
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.
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