Malaysia coin identification app using deep learning model

• Main Authors: Nazly, D.Q.M., Isawasan, P., Salleh, K.A., Sugathan, S.K.
• Format: Article
• Published: Institute of Advanced Engineering and Science 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37472/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150869956&doi=10.11591%2feei.v12i4.4601&partnerID=40&md5=0e61c8ada5c30ae005ffb29ae5f9c029

Most of the human work has been replaced by computers in recent years.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. © 2023, The authors.