International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 31 |
Published: Apr 2018 |
Authors: Shreshtha Garg, Kapil Kumar Gupta, Nikhil Prabhakar, Amulya Ratan Garg, Aayush Trivedi |
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Shreshtha Garg, Kapil Kumar Gupta, Nikhil Prabhakar, Amulya Ratan Garg, Aayush Trivedi . Optical Character Recognition using Artificial Intelligence. International Journal of Computer Applications. 179, 31 (Apr 2018), 14-20. DOI=10.5120/ijca2018916390
@article{ 10.5120/ijca2018916390, author = { Shreshtha Garg,Kapil Kumar Gupta,Nikhil Prabhakar,Amulya Ratan Garg,Aayush Trivedi }, title = { Optical Character Recognition using Artificial Intelligence }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 179 }, number = { 31 }, pages = { 14-20 }, doi = { 10.5120/ijca2018916390 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Shreshtha Garg %A Kapil Kumar Gupta %A Nikhil Prabhakar %A Amulya Ratan Garg %A Aayush Trivedi %T Optical Character Recognition using Artificial Intelligence%T %J International Journal of Computer Applications %V 179 %N 31 %P 14-20 %R 10.5120/ijca2018916390 %I Foundation of Computer Science (FCS), NY, USA
This is a complete Optical Recognition System using artificial intelligence. In this paper we have dealt with words and character detection. The OCR system that will train itself and help in extracting text from any image by using neural networks and back propagation techniques. Earlier we had to store data in a DATABASE while performing operations but with this we will be able to train our systems. We will have to store only a limited amount of data and the software will self train itself for future entries.