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A multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images

机译:用于重新连接指纹图像中断裂的脊线的多尺度方向算子和形态学工具

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摘要

In this paper, we introduce a multiscale operator which, together with some morphological tools, can be used to reconnect broken components of fingerprint images. This operator, which can be applied to both binary and gray-scale pictures, extracts the orientation field of an image by taking into account information parameters of sets of pixels in a given neighborhood and located in different directions. It has proved to be very robust to noise and outperforms the gradient- and directional mask-based methods, generally used for orientation field definition. Although we illustrate its application in the fingerprint domain, the approach described here can be easily extended to images whose components exhibit well-defined directional information. (C) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译:在本文中,我们介绍了一种多尺度算子,该算子与一些形态学工具一起可用于重新连接指纹图像的损坏成分。该运算符可应用于二进制和灰度图片,它通过考虑给定邻域中不同方向的像素集的信息参数来提取图像的方向场。它已被证明对噪声非常鲁棒,并且优于通常用于定向场定义的基于梯度和方向蒙版的方法。尽管我们说明了其在指纹域中的应用,但是此处描述的方法可以轻松扩展到其成分显示明确定义的方向信息的图像。 (C)2007模式识别学会。由Elsevier Ltd.出版。保留所有权利。

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