Research Article
Coin Recognition Based on Physical Detection and Template Matching
@INPROCEEDINGS{10.1007/978-3-030-69066-3_8, author={Jie Wang and Long Bai and Jiayi Yang and Mingfeng Lu}, title={Coin Recognition Based on Physical Detection and Template Matching}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={Coin recognition Image processing Template matching}, doi={10.1007/978-3-030-69066-3_8} }- Jie Wang
Long Bai
Jiayi Yang
Mingfeng Lu
Year: 2021
Coin Recognition Based on Physical Detection and Template Matching
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_8
Abstract
At present, coin circulation automation technology has been widely used in many aspects, so it is necessary to install coin recognition and detection devices in related equipment to prevent coin confusion. However, many current coin detection methods have high requirements for hardware,which increases costs and makes it difficult to install and use equipment in narrow spaces. In this paper, we propose a coin recognition method with low hardware requirements and high accuracy. The design is to take a picture of the coin, detect the image and match the template to distinguish three different coins in the fourth edition of RMB. Compared with other detection methods using the eddy current method, it is lighter and easier to assemble, and can be easily embedded in narrow places.
