Paper Title

Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent

Authors

  • Karan Mishra
  • Payal Kansagra

Keywords

Neural network, genetic algorithm , image processing toolbox , matlab

Abstract

- OCR itself is currently translating images handwritten typewritten or printed text into a format understood by machines for editing, indexing / search, and a reduction storage size. Optical Character Recognition is the mechanical or electronic translation of images of handwritten text, typed or printed machine editable text. Artificial neural networks are commonly used for performing character recognition due to their high tolerance for noise. An optical character recognition based on artificial neural networks (ANN). The ANN is trained using the genetic algorithm. With more we will introduce prediction algorithm which is used to predict the next character in particular the word for error detection and automatic correction

Article Type

Published

How To Cite

Karan Mishra, Payal Kansagra. "Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 2, pp.1855-1858, URL :https://rjwave.org/ijedr/papers/IJEDR1402092.pdf

Issue

Volume 2 Issue 2 

Pages. 1855-1858

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