Fingerprint image enhancement using CNN Gabor-Type filters

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035073

E. Saatci, V. Tavsanoglu

引用次数: 23

Abstract

Fingerprint images are usually worsened by various kinds of noise causing cracks, scratches and bridges in the ridges as well as ink blurs. These cause matching errors in fingerprint recognition. For effective recognition the correct ridge pattern is essential, requiring the enhancement of fingerprint images. A fingerprint pattern consists of ridges. Segment by segment analysis of the pattern yields various ridge directions and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes fingerprint image enhancement based on CNN Gabor-type filters.

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使用CNN Gabor-Type滤波器增强指纹图像

指纹图像通常会因各种噪音而变差，这些噪音会导致指纹脊上出现裂缝、划痕和桥状，以及墨水模糊。这些会导致指纹识别中的匹配错误。正确的脊纹是有效识别的关键，需要对指纹图像进行增强。指纹图案由纹状结构组成。一段一段地分析图形，可以得到各种脊的方向和频率。通过选择具有正确滤波参数的方向滤波器来匹配每个点的脊特征，可以有效地增强指纹脊。提出了一种基于CNN gabor型滤波器的指纹图像增强方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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