Review Paper Of Optical Character Recognition, With Fault Finding Using Artificial Intelligent
- Karan Mishra
- Payal Kansagra
Neural network, genetic algorithm , image processing toolbox , matlab
- 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
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
Volume 2 Issue 2
Pages. 1855-1858