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Optical character recognition: A comprehensive study of hybrid methods.
- Source :
-
International Journal of Knowledge Based Intelligent Engineering Systems . 2011, Vol. 15 Issue 4, p247-254. 8p. - Publication Year :
- 2011
-
Abstract
- The problem of Optical Character Recognition (OCR) is methodically treated in this paper. The paper discusses some traditional methods like template matching and neural networks that are employed by the more advanced and artificially intelligent systems. Though K-PCA, a non-intelligent system, provides better accuracy, it was found to occur at the cost of more processing time. Neural Networks provide a trade-off between processing time and accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13272314
- Volume :
- 15
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Knowledge Based Intelligent Engineering Systems
- Publication Type :
- Academic Journal
- Accession number :
- 66639764
- Full Text :
- https://doi.org/10.3233/KES-2011-0225