Fingerprint Segmentation Using Cellular Neural Network

Jiayin Kang, Wenjuan Zhang
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引用次数: 7

Abstract

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on cellular neural network (CNN) is presented. The proposed algorithm is realized by threshold CNN (T-CNN), of which threshold is obtained via fuzzy set theory. Experimental results show that proposed method can extract the fingerprint effectively and efficiently from original image.
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基于细胞神经网络的指纹分割
指纹分割是指纹识别系统的关键步骤,它决定了指纹分析和识别的结果。提出了一种基于细胞神经网络(CNN)的指纹分割方法。该算法由阈值CNN (T-CNN)实现,其中阈值由模糊集理论确定。实验结果表明,该方法可以有效地从原始图像中提取指纹。
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