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Recognition of Off-Line Handwritten Devanagari Characters using Combinational Feature Extraction
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 3 |
| Year of Publication: 2015 |
| Authors: Deepali R. Birajdar, Manasi M.patil |
10.5120/21204-3883
|
Deepali R. Birajdar, Manasi M.patil . Recognition of Off-Line Handwritten Devanagari Characters using Combinational Feature Extraction. International Journal of Computer Applications. 120, 3 ( June 2015), 1-4. DOI=10.5120/21204-3883
Abstract
Handwritten Devanagari off-line characters recognition is a challenging task due to peculiarities involved in the writing styles of different person. We are collected features from 64 dimensional feature extraction techniques and shadow features for the Devanagari character recognition in this proposed scheme. These calculated features are used for further classification. Features which are used here for recognition means histograms of direction chain code of the contour points of the characters [4]. The features are classified using neural network and selected the best result by weighted majority voting technique.
References
- Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri, "Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition", IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur,2008.
- Nei Kato,Shin'ichiro Omachi,Hirotomo Aso, Yoshiaki Nemoto "A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance", IEEE transactions on pattern analysis and machine intelligence, vol. 21, no. 3, march 1999 pp 258-262
- L. Koerich ,Large Vocabulary off-line handwritten word recognition. PhD thesis, Ecole de Technologic Superieure, Montreal-Canada, August 2002.
- Satish Kumar and Chandan Singh, "A Study of Zernike Moments and its use in Devnagari Handwritten Character Recognition", Intl. Conf. on Cognition and Recognition, pp. 514-520, 2005.
- N. Sharma, U. Pal*, F. Kimura**, and S. Pal," Recognition of Off-Line Handwritten Devnagari Characters Using Quadratic Classifier", Computer Vision and Pattern Recognition, pp. 805 – 816, 2006.
- I. K. Sethi, and B. Chatterjee, Machine recognition of constrained hand printed devnagari, Pattern Recognition, vol. 9, pp. 69-75, 1977.
- M. Hanmandlu and O. V. Ramana Murthy, "Fuzzy Model Based Recognition of Handwritten Hindi Numerals", Intl. Conf. on Cognition and Recognition, pp. 490-496, 2005.
- Sandhya Arora1. Debotosh Bhattacharjee2, Mita Nasipuri2, L. Malik4 "Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition", International Journal of Computer Science Issues, Vol. 7, Issue 3, No 6, May 2010.
- Vikas J Dongre Vijay H Mankar," A Review of Research on Devnagari Character Recognition", International Journal of Computer Applications (0975 – 8887)Volume 12– No. 2, November 2010.
- M. Hanmandlu, O. V. Ramana Murthy, Vamsi Krishna Madasu, "FuzzyModel based recognition of Handwritten Hindi characters", IEEE Computer society, Digital Image Computing Techniques and Applications , 2007.
- J. Hertz, A. Krogh, R. G. Palmer, "An Introduction to neural Computation", Addison-Wesley (1991).
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