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All Journal Bulletin of Electrical Engineering and Informatics
Pradeep Isawasan
Universiti Teknologi MARA Perak Branch
Electrical & Electronics Engineering

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Malaysia coin identification app using deep learning model Dania Qistina Mohd Nazly; Pradeep Isawasan; Khairulliza Ahmad Salleh; Savita K. Sugathan
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.4601

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Most of the human work has been replaced by computers in recent years.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.
Co-Authors Dania Qistina Mohd Nazly Khairulliza Ahmad Salleh Savita K. Sugathan