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http://hdl.handle.net/10266/1452
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DC Field | Value | Language |
---|---|---|
dc.contributor.supervisor | Bawa, Seema | - |
dc.contributor.author | Modi, Shatrughan | - |
dc.date.accessioned | 2011-08-04T09:03:01Z | - |
dc.date.available | 2011-08-04T09:03:01Z | - |
dc.date.issued | 2011-08-04T09:03:01Z | - |
dc.identifier.uri | http://hdl.handle.net/10266/1452 | - |
dc.description | M.E. (Software Engineering) | en |
dc.description.abstract | Coins have been the integral part of our day to day life. So, it is a basic need that coins can be recognized, counted and sorted automatically. We have developed an ANN based Automated Coin Recognition System for Indian coins of denomination Rs. 1, 2, 5 and 10 using MATLAB. We have achieved accuracy of 97.74% in recognition. | en |
dc.description.sponsorship | Computer Science Eng. Dept. | en |
dc.format.extent | 2122787 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | en |
dc.subject | Coin Recognition | en |
dc.subject | Pattern Recognition | en |
dc.subject | Image Processing | en |
dc.subject | Neural Networks | en |
dc.title | Automated Coin Recognition System using ANN | en |
dc.type | Thesis | en |
Appears in Collections: | Masters Theses@CSED |
Files in This Item:
File | Description | Size | Format | |
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1452 Shatrughan Modi (800931019).pdf | 2.04 MB | Adobe PDF | ![]() View/Open |
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