指纹图像的特征保持二值化

Guo Lei, Chen Da-hai, Li Hai, Chang Jiang
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引用次数: 14

摘要

提出了一种保留指纹图像特征的二值化方法。首先,采用带阻滤波方法去除高频噪声;同时,将简单阈值化的原始图像进行高斯低通滤波,对滤波后的图像应用区域生长法得到指纹区域轮廓。然后,在带通图像的背景中填充指纹区域的轮廓。经过这些步骤,背景强度接近于零,因此使用固定阈值1进行二值化。实验结果表明,带阻方法可以有效地消除指纹图像中的噪声。对指纹轮廓进行二值化处理,可以解决背景干扰的问题。对前景和背景进行分割,有利于阈值的选择和指纹特征的保持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristic Preserving Binarization for Fingerprint Image
This paper presents a new method for binarizing fingerprint image while preserving image characteristics. Firstly, a band-stop filter method is adopted to remove the noises in high frequency. At the same time, a simply- thresholded original image is passed to Gaussian low pass filter, and outlines of fingerprint region are get by applying region growing method to the filtered image. Then, background in band-pass image is filled with outlines of the fingerprint region. After these procedures, background intensity is close to zero, thus fixed threshold one is used for binarization. Our experiment results demonstrate that band- stop method can eliminate noises effectively in the fingerprint images. And binarization in outline of fingerprint can solve the problem of disturbance of the background. Segmenting foreground from background helps select threshold and keep the characteristics of fingerprint.
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