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Paper Details
Paper Title
Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent
Authors
Karan Mishra, Payal Kansagra
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
Keywords- Neural network, genetic algorithm , image processing toolbox , matlab
Publication Details
Unique Identification Number - IJEDR1402092Page Number(s) - 1855-1858Pubished in - Volume 2 | Issue 2 | June 2014DOI (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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