Research Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
An Efficient Coin Recognition Technique using Rotational Invariance Approach
Nikita N Shelgikar, Prof. L. M. R. J Lobo
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.
Keywords: Coin Recognition, Segmentation, Radius Calculation, Radial Blur
Edition: Volume 3 Issue 12, December 2014
Pages: 2357 - 2361
How to Cite this Article?
Nikita N Shelgikar, Prof. L. M. R. J Lobo, "An Efficient Coin Recognition Technique using Rotational Invariance Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB141048, Volume 3 Issue 12, December 2014, 2357 - 2361
Similar Articles with Keyword 'Segmentation'
Survey on Various Image Segmentation Techniques
Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering
Babita Chauhan, Preeti Sondhi
Similar Articles with Keyword 'Coin'
Green ICT Sustainability and Its Impacts-Next Wave in Computing
D S Kushwaha, Ankur Singh
Review of Dual Sentiment Analysis
Bhagyashri Ramesh Jadhav, Manjushri Mahajan
Similar Articles with Keyword 'Recognition'
A Survey of Thinning Techniques on Two Dimensional Binary Images
Moumita Sarkar, Santanu Chatterjee
Krashi Prabhandak (Agricultural Manager)
Prafful Mundra, A V Pavan Krishna, Swarnalatha P, Venkata Sumanth Kakollu