Offline Recognition of Devanagari Script: A Survey

In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. State of the art from 1970s of machine printed and handwritten...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2011-11, Vol.41 (6), p.782-796
Main Authors: Jayadevan, R., Kolhe, S. R., Patil, P. M., Pal, U.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Character recognition
Classification
Computer science
control theory
systems
Conferences
Cybernetics
Devanagari OCR
Exact sciences and technology
Feature extraction
Handwriting recognition
handwritten character recognition
Image segmentation
Indian script
OCR
offline character recognition survey
Optical character recognition
Optical character recognition software
Pattern recognition. Digital image processing. Computational geometry
Recognition
Scripts
Support vector machines
Texts
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Summary:In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. State of the art from 1970s of machine printed and handwritten Devanagari optical character recognition (OCR) is discussed in this paper. All feature-extraction techniques as well as training, classification and matching techniques useful for the recognition are discussed in various sections of the paper. An attempt is made to address the most important results reported so far and it is also tried to highlight the beneficial directions of the research till date. Moreover, the paper also contains a comprehensive bibliography of many selected papers appeared in reputed journals and conference proceedings as an aid for the researchers working in the field of Devanagari OCR.
ISSN:1094-6977
2168-2291
1558-2442
2168-2305
DOI:10.1109/TSMCC.2010.2095841