Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29311


Select areas to restrict search in scientific publication database:
1590
Support Vector Machine for Persian Font Recognition
Abstract:
In this paper we examine the use of global texture analysis based approaches for the purpose of Persian font recognition in machine-printed document images. Most existing methods for font recognition make use of local typographical features and connected component analysis. However derivation of such features is not an easy task. Gabor filters are appropriate tools for texture analysis and are motivated by human visual system. Here we consider document images as textures and use Gabor filter responses for identifying the fonts. The method is content independent and involves no local feature analysis. Two different classifiers Weighted Euclidean Distance and SVM are used for the purpose of classification. Experiments on seven different type faces and four font styles show average accuracy of 85% with WED and 82% with SVM classifier over typefaces
Digital Object Identifier (DOI):

References:

[1] B. B. Chaudhuri, and U. Garain, "Automatic Detection of Italic, Bold and All-Capital words in Document Images", Proc. of 14th International Conference on Pattern Recognition - ICPR, Brisbane (Australia), pp.610-612, 1998.
[2] B. B. Chaudhuri, and U. Garain, "Extraction of type style-based metainformation from imaged documents", International Journal on Document Analysis and Recognition - IJDAR, vol. 3, no. 3, pp. 138-149, 2001.
[3] K. Y. Wong, R. G. Casey, and F. M. Wahl, "Document Analysis System", IBM Journal of Research and Development, vol. 26, no. 6, pp. 647-656, 1982.
[4] V. Eglin, S. Bres, and H. Emptoz, "Statistical characterization and classification of printed text in a multiscale context", Proc. of 2nd International Workshop on Statistical Techniques in Pattern Recognition - SPR-98, Sydney (NSW), (Australia), pp.960-967, 1998.
[5] L. Duffy, "Recherche d'information logique dans les documents ├á typographie riche et récurrente. Application aux sommaires", Thesis of the Institut National des Sciences Appliquées - INSA de Lyon, Lyon (France), 160p, 1997.
[6] A. Zramdini, "Study of Optical Font Recognition Based on Global Typographical Features", Thesis of the University of Fribourg, Fribourg (Switzerland), 170p, 1995.H. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1985, ch. 4.
[7] D. S. Doermann, E. Rivlin, and A. Rosenfeld, "The function of documents", International Journal of Computer Vision - IJCV, pp. 799- 814, 1998.E. H. Miller, "A note on reflector arrays (Periodical styleÔÇö Accepted for publication)," IEEE Trans. Antennas Propagat., to be published.
[8] V.Wu, R. Manmatha, and E. M. Riseman, "Finding Text in Images", Proc. of Second ACM International Conference on Digital Libraries, Philadelphia, PA (USA), pp.23-26, 1997.
[9] A. K. S. Jain, and K. Bhattacharjee, "Address Block Location on Envelopes Using Gabor Filters", Pattern Recognition, vol. 25, no. 12, pp. 1459-1477, 1992.
[10] A. K. S. Jain, K. Bhattacharjee, and Y. Chen, "On texture in document images", Proc. Of IEEE Conference on Computer Vision and Pattern Recognition, Champaign, Illinois (USA), pp.677-680, 1992.
[11] A. Bénédicte, H. Emptoz, "Font Type Extraction and Character Prototyping Using Gabor Filters". International Conference on Document Analysis and Recognition, p, 799-803, 2003.
[12] Y. Zhu, T. Tan, and Y. WANG, "Font Recognition Based On Global Texture Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1192-1200, 2001.
[13] N. Otsu, "A threshold selection method for gray-level histogram", IEEE Trans. On System Man Cybernetics, vol. SMC-9, no. 1, pp. 62-66, 1979.
[14] N. Petkov, "Biologically motivated computationally intensive approaches to image pattern recognition", Future Gen. Comput. Syst., vol. 11, pp. 451-465, 1995.
[15] T. N. Tan, "Texture feature extraction via visual cortical channel modeling", Proc. Of 11th IAPR Int. Conf. Pattern Recognition, vol. 3, pp. 607-610, 1992.
[16] V. Vapnik, "The Nature of Statistical Learning Theory", Springer, 1995.
[17] C. J. C. Burges, "A tutorial on support vector machines for pattern recognition", Data Mining and Knowledge Discovery, vol. 2, no.2, pp. 1-47, 1998.
[18] V. Vapnik, "Statistical learning theory". John Wiley and Sons, New York, 1998.
Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007