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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent
  Karan Mishra,  Payal Kansagra

- 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

Keywords- Neural network, genetic algorithm , image processing toolbox , matlab
Publication Details
Unique Identification Number - IJEDR1402092
Page Number(s) - 1855-1858
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Karan Mishra,  Payal Kansagra,   "Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1855-1858, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402092.pdf
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