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A Robust Method of Image Based Coin Recognition

机译:一种基于图像的硬币识别的鲁棒方法

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摘要

An image based approach which detects Indian coins of different denomination has been proposed in this paper. This consists of matching an input coin image with a database of coin images (templates) in two phases. The first phase involves, identifying matching radius database coins. In the second phase, template matching is performed by correlating the edges of input and matching radius database coin images. Template matching phase involves two parts, coarse matching and fine matching. This provides rotation invariance and does away with the requirement of placing the front face of the coin up. If the correlation coefficient obtained by template matching satisfies the threshold, then coin stands recognized. The algorithm has been developed in MATLAB 7.9.0 and the obtained results are recorded. The proposed method has been compared with existing methods (Difference, LBP, FFT) and comparison results have been recorded.
机译:本文提出了一种基于图像的方法,检测不同面额的印度硬币。这包括在两个阶段中与硬币图像(模板)的数据库匹配输入硬币图像。第一阶段涉及识别匹配的RADIUS数据库硬币。在第二阶段中,通过将输入和匹配的RADIUS数据库硬币图像相关联来执行模板匹配。模板匹配阶段涉及两部分,粗匹配和精细匹配。这提供了旋转不变性,并与放置枚止的前面的要求消失。如果通过模板匹配获得的相关系数满足阈值,则硬币识别。该算法已在MATLAB 7.9.0中开发,并记录所获得的结果。已经将所提出的方法与现有方法(差异,LBP,FFT)进行比较,并记录了比较结果。

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