Coin Identification and Conversion System using Image Processing

Danielle M. Dumaliang, John Moises Q. Rigor, Ramon G. Garcia, J. Villaverde, J. R. Cunado
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引用次数: 8

Abstract

Different features and template designs of currencies give travellers a hard time identifying and recognizing a coin; that is why a device to locate and recognize a coin is a must. Four currencies were used in the study. The researchers applied the YOLOv3 and CNN to create the system. Identification and recognition of coins is challenging with their many orientations and widely changing patterns. To resolve the problem, the researchers obtained the optimal distance of the camera to the coin and tested different angles of rotation. It was found out that a 6-cm distance from the camera to the coin is best for easy coin identification. The system’s accuracy are 98.15%, 98.15%, 97.22%, and 96.30% for 0-, 90-, 180-, and 270-degree angles, respectively.
基于图像处理的硬币识别与转换系统
货币的不同特征和模板设计使旅行者很难识别和识别一枚硬币;这就是为什么定位和识别硬币的设备是必须的。研究中使用了四种货币。研究人员使用YOLOv3和CNN来创建该系统。硬币的识别和识别具有许多方向和广泛变化的模式,具有挑战性。为了解决这个问题,研究人员获得了相机到硬币的最佳距离,并测试了不同的旋转角度。人们发现,相机与硬币之间的距离为6厘米,最容易识别硬币。对于0度、90度、180度和270度,系统的准确率分别为98.15%、98.15%、97.22%和96.30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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