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Feature Extraction of Fingerprint Image Based on Minutiae Feature Points

机译:基于细节特征点的指纹图像特征提取

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Fingerprint identification system has been widely used in many kinds of fields such as public security, enterprise, bank and so on. And the correctness of the feature extraction directly affects the reliability of the system. After introducing fingerprint minutiae, this paper implements an algorithm for minutiae extraction based on tracing the thin ridge line, expressing the type of current point and the states of its 8-neighborhood pixels by 8-neighbour coding, which can effectively extract ridge endings and ridge bifurcations in thinned fingerprint image. The experimental results show that the algorithm can not only improve the speed of feature extraction, but also accurately eliminate pseudo minutiae, so the follow-up time of the image processing is shortened, and it can satisfy the need in the practical application.
机译:指纹识别系统已广泛应用于公安,企业,银行等许多领域。特征提取的正确性直接影响系统的可靠性。在介绍指纹细节之后,本文实现了一种基于细脊线追踪的细节提取算法,通过八邻域编码来表达当前点的类型及其八邻像素的状态,从而可以有效地提取出脊的末端和脊线。指纹图像变细时出现分叉。实验结果表明,该算法不仅可以提高特征提取的速度,而且可以准确消除伪造细节,从而缩短了图像处理的后续时间,可以满足实际应用的需要。

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