货币识别系统采用图像处理

Vedasamhitha Abburu, Saumya Gupta, S. R. Rimitha, Manjunath Mulimani, S. Koolagudi
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引用次数: 35

摘要

在本文中,我们提出了一个使用图像处理技术的自动货币识别系统。所提出的方法既可用于识别国家或原产,也可用于识别给定钞票的面额或价值。只考虑了纸币。这种方法的工作原理是,首先使用某些预定义的兴趣区域识别原产国,然后根据同一国家的纸币差异的大小、颜色或文字等特征提取面值值。我们考虑了20种交易最频繁的货币及其面额。我们的系统能够准确、快速地识别测试笔记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Currency recognition system using image processing
In this paper, we propose a system for automated currency recognition using image processing techniques. The proposed method can be used for recognizing both the country or origin as well as the denomination or value of a given banknote. Only paper currencies have been considered. This method works by first identifying the country of origin using certain predefined areas of interest, and then extracting the denomination value using characteristics such as size, color, or text on the note, depending on how much the notes within the same country differ. We have considered 20 of the most traded currencies, as well as their denominations. Our system is able to accurately and quickly identify test notes.
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