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Feature Extraction of Fingerprint Image Based on Minutiae Feature Points

机译:基于Minutiae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许多类型的领域,如公安,企业,银行等。 特征提取的正确性直接影响系统的可靠性。 在引入指纹细节后,基于薄脊线的追踪,用8邻的编码表示一种基于薄脊线的细节提取算法,其8邻码编码,可以有效地提取脊端和脊 稀释指纹图像中的分叉。 实验结果表明,该算法不仅可以提高特征提取的速度,还可以准确地消除伪细节,因此缩短了图像处理的随访时间,可以满足实际应用中的需要。

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