Development an Accurate Neural Network for Coin Recognition

被引：0
|
作者：
Fonov, Nikolay [1 ]
Ksenia, Urkaeva [1 ]
机构：
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Dept Comp Syst & Technol, Moscow, Russia
来源：
PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年
关键词：
coin classification; edge detection; neural network; image processing;
D O I：
10.1109/ElConRus51938.2021.9396592
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents recognition system for coins of the USSR that is based on a convolutional neural network and database that stores images of coins and information about each coin. In addition, two algorithms for processing the incoming image were investigated, which occurs in four stages: cropping the background of the image, finding the center of the coin by rotating it, reducing the size of the coin image to increase the recognition speed of the neural network and find the maximum number of collinear vectors.
引用
收藏
页码：337 / 341
页数：5
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