图像处理技术在纸币分类系统中的应用

Wenhong Li, Yonggang Li, Kexue Luo
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引用次数: 3

摘要

人民币的处理效果和识别精度是纸币分类系统的重要组成部分。本文根据人民币图像的特点,运用数字图像处理和模式识别理论,提出了基于人民币序列号部分的处理和识别的人民币图像处理方法、基于奖惩法的线性感知算法和序列号字符提取方法。通过对采用CIS传感器作为图像采集的纸币分类系统的实验,证明了该识别方法具有较高的可行性和识别精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Image Processing Technology in Paper Currency Classification System
The processing effect and recognition accuracy of RMB is an important part in the paper currency classification system. According to the characteristics of RMB images, the paper uses the theory of digital image processing and pattern recognition to put forward the method of RMB image processing based on the processing and recognition of the part of the RMB serial numbers, the arithmetic of linear perception based on rewards and punishment method and the extraction method of serial numbers character. Through the experiment on the paper currency classification system which uses the CIS sensor as the image acquisition, it testifies that this method of recognition has a high feasibility and recognition accuracy.
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