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Malaysia coin identification app using deep learning model

Authors :
Dania Qistina Mohd Nazly
Pradeep Isawasan
Khairulliza Ahmad Salleh
Savita K. Sugathan
Source :
Bulletin of Electrical Engineering and Informatics. 12:2506-2512
Publication Year :
2023
Publisher :
Institute of Advanced Engineering and Science, 2023.

Abstract

Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and Internet access, recent developments in machine learning (ML) have designed many algorithms to solve diverse human problems. However, due to a lack of exposure to image processing, identification technology is still not widely employed in Malaysia. This paper outlines the steps involved in creating a mobile application for coin identification using ML. In the literature review, the history of the coins is studied in more depth and the features of already existing coin identification mobile applications are compared by their advantages and disadvantages. In addition, using the neural network model, the classification accuracy of successfully identified coins is recorded and disclosed. This study includes the limitations of the prototype mobile application and future improvements that could be added.

Details

ISSN :
23029285 and 20893191
Volume :
12
Database :
OpenAIRE
Journal :
Bulletin of Electrical Engineering and Informatics
Accession number :
edsair.doi.dedup.....15e2152c5dbc46912ee9a02e03c5aeef