Segmentation of low quality fingerprint images

H. Fleyeh, D. Jomaa, M. Dougherty
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引用次数: 30

Abstract

This paper presents a new algorithm to segment fingerprint images. The algorithm uses four features, the global mean, the local mean, variance and coherence of the image to achieve the fingerprint segmentation. Based on these features, a rule based system is built to segment the image.
低质量指纹图像的分割
提出了一种新的指纹图像分割算法。该算法利用图像的全局均值、局部均值、方差和相干性四个特征来实现指纹分割。基于这些特征,构建了基于规则的图像分割系统。
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