Automated Coin Recognition System using ANN
This addresses the need for automated coin sorting and counting in daily transactions, but it is incremental as it applies an existing ANN method to a specific dataset.
The paper tackled the problem of automatically recognizing Indian coins of denominations Rs. 1, 2, 5, and 10 with rotation invariance, achieving a 97.74% recognition rate.
Coins are integral part of our day to day life. We use coins everywhere like grocery store, banks, buses, trains etc. So it becomes a basic need that coins can be sorted and counted automatically. For this it is necessary that coins can be recognized automatically. In this paper we have developed an ANN (Artificial Neural Network) based Automated Coin Recognition System for the recognition of Indian Coins of denomination Rs. 1, 2, 5 and 10 with rotation invariance. We have taken images from both sides of coin. So this system is capable of recognizing coins from both sides. Features are extracted from images using techniques of Hough Transformation, Pattern Averaging etc. Then, the extracted features are passed as input to a trained Neural Network. 97.74% recognition rate has been achieved during the experiments i.e. only 2.26% miss recognition, which is quite encouraging.