An Efficient Coin Recognition Technique using Rotational Invariance Approach

Coins are used in day to day life at various places like in banks, supermarkets, automated weighing machines. This machines must recognize the coins accurately. In this work we concentrate on Image Processing method based system for coin recognition. In presented system, initially coin image is acquired. Then image is given for segmentation. Here image is converted into grayscale image and then into binary image. Image is then given for radius calculation. Next, radial Blur technique is applied to that image. This image is then compared with database image. Finally we are showing the minimum value and the angle at which coin is detected. Our system provides better results within short period of time.