Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42087
Title: An automated system for coin recognition
Authors: Sufia, Sulkan
Dr. Md Mijanur Rahman
Keywords: Coins
Coin recognition system
Coin recognition system -- Design and construction
Malaysian coins
Issue Date: May-2015
Publisher: Universiti Malaysia Perlis (UniMAP)
Abstract: Coins are a vital necessity in our daily lives. We use a coin in any retail shops, banks, using public transport, in the process of purchasing and others. Therefore, it becomes a basic requirement in which coins can be sorted and counted automatically. For this, it is necessary that the coins can be recognized automatically. In this project, I will be using Artificial Neural Network (ANN), and it provides effective results for solving some classes of problems. Neural networks have been widely used in image and signal processing. In this project, I will develop Artificial Neural Network (ANN) based automatic identification system for the recognition of Malaysian coins in denominations of 5 cents, 10 cents, 20 cents and 50 cents a rotation invariant. By taking a picture of both sides of the coin will help to get a more accurate image of the coin and can be adjusted perfectly when doing some recognition for Malaysian coins.
Description: Access is limited to UniMAP community.
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42087
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf297.2 kBAdobe PDFView/Open
Introduction.pdf197.06 kBAdobe PDFView/Open
Literature Review.pdf392.12 kBAdobe PDFView/Open
Methodology.pdf640.74 kBAdobe PDFView/Open
Results and Discussion.pdf598.3 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf192.76 kBAdobe PDFView/Open
Refference and Appendics.pdf315.74 kBAdobe PDFView/Open


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