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Reseach Article

Detection of Bold and Italic Character in Devanagari Script

by Ravi Kant Yadav, Bireshwar Dass Mazumdar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 2
Year of Publication: 2012
Authors: Ravi Kant Yadav, Bireshwar Dass Mazumdar
10.5120/4792-7037

Ravi Kant Yadav, Bireshwar Dass Mazumdar . Detection of Bold and Italic Character in Devanagari Script. International Journal of Computer Applications. 39, 2 ( February 2012), 19-22. DOI=10.5120/4792-7037

@article{ 10.5120/4792-7037,
author = { Ravi Kant Yadav, Bireshwar Dass Mazumdar },
title = { Detection of Bold and Italic Character in Devanagari Script },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 2 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number2/4792-7037/ },
doi = { 10.5120/4792-7037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:23.403446+05:30
%A Ravi Kant Yadav
%A Bireshwar Dass Mazumdar
%T Detection of Bold and Italic Character in Devanagari Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 2
%P 19-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Only a few works has been done for printed devanagari text in the area of optical character recognition. In this paper there is describing about a simple and fast algorithm for detection of italic and bold character in Devanagari script, without recognition of actual character. Here present an automatic information which tells us about the font type phase in the way of weight and slope. The process of identification and classification of italic and bold character can be used for making an accuracy of the text recognition system in the OCR. This simple and fast algorithm gives high accuracy and very easy to implement.

References
  1. Anand Arokia Raj, Kishore Prahallad, “Identification and Conversion of Font-Data in Indian Languages” at International Conference on Universal Digital Library (ICUDL2007) November 2007, Pittsburgh, USA.
  2. Zramdini, A. and Ingold, R. “Optical Font Recognition Using Typographical Features,” IEEE Trans. Pattern Anal. Machine Intell., vol. 20, no. 8, pp.877-882, 1995.
  3. Zramdini, A. and Rolf Ingild, “Optical font recognition from projection profiles”, Electronic Publishing, Vol. 6(3), 249–260 (September 1993)
  4. Lehal, G. S., Singh, C. and Ritu Lehal, “A Shape Based Post Processor for Gurmukhi OCR” Department of Computer Science and Engineering, Punjabi University, Patiala, India. Vol. 12, NO. 2, pp. 2-12 (1999).
  5. Chaudhuri, B. B. and Garain, U. “Detection of Italic, Bold and All-Capital Words in Document Images”, Proc. 14th Int. Conf. on Pattern Recognition (ICPR), Vol. 1, pp. 610- 612, 1998.
  6. Garain, U. and Chaudhuri, B. B. “Extraction of Type Style Based Meta-Information from Imaged Documents” Computer Vision & Pattern Recognition Unit Indian Statistical Institute Calcutta 700 035, INDIA Proc. 15th Int. Conf. on Pattern Recognition (ICPR), Vol. 2, pp. 610- 612, 1999.
  7. Lehal, G. S. and Chandan Singh, "A Gurmukhi script recognition system", in Proceedings IS'" International Conference on Pattern Recognition, Vol 2, pp. 557-560 (2000).
  8. Loris Eynard, Hubert Emptoz, “Italic or Roman: Word Style Recognition Without A Priori Knowledge for Old Printed Documents”, 10th International Conference on Document Analysis and Recognition, 2009
  9. Zhang, L. , Lu, Y. and Tan, C. L. “Italic font recognition using stroke pattern analysis on Wavelet decomposed word images”. In ICPR ’04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR’04) Volume 4, pages 835– 838, Washington, DC, USA, 2004. IEEE Computer Society.
  10. Ming-hu ha, xue-dong tian and zi-ru zhang, “Optical Font Recognition Based on Gabor Filter”, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005.
Index Terms

Computer Science
Information Sciences

Keywords

OCR Font type phase Binarization Pixels Noise