Coin Recognition And Classification using DIP Techniques: A Result
Keywords:
Image Processing, Artificial Neural Networks, Edge detection, thresholding, Edge enhancement, Features extractionAbstract
Coins are a primary need of human life. They are used in everyone’s daily routine, like banks, transport,
market and these spare changes also has various other uses than realization traded in for cash similar to
measurement purpose, in games (toss), in organizations for research point, etc. So, it holds a vast significance that
coins can be detected with high accuracy. The goal of this system is to classify high volumes of coins with high
accuracy within short time duration. In this paper we discussed a various techniques of coin recognition systems in
respective terms of their accuracy. This paper also focused on different coin recognition systems have been planned by
different researchers based on image processing techniques. Categorization is based on images from both sides of the
coin as well as a radius of the coin.
