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Edges detection methods based on filtering followed by application of differential operators for fingerprint

机译:基于滤波的边缘检测方法,然后应用差分算子进行指纹识别

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This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators fingerprint an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals differentiation is dangerous due to the effect of amplifying the high frequencies. To eliminate this disadvantage must be designed optimal edge detectors (Canny) which satisfy the following criteria: accurate detection, correct location and a single response to a single edge.
机译:本文介绍了边缘检测方法的优点,该方法使用滤波操作,然后应用差分算子对图像进行指纹识别。当使用基于微分算子的方法时,可以通过微分检测强度变化,但是如果有噪声的信号,由于放大高频的作用,微分是危险的。为了消除该缺点,必须设计满足以下标准的最佳边缘检测器(Canny):准确检测,正确位置以及对单个边缘的单个响应。

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