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Handwritten Marathi Consonants Recognition using Multilevel Classification

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IJCA Proceedings on National Conference on Digital Image and Signal Processing
© 2016 by IJCA Journal
NCDISP 2016 - Number 2
Year of Publication: 2016
Authors:
C. H. Patil
S. M. Mali

C H Patil and S M Mali. Article: Handwritten Marathi Consonants Recognition using Multilevel Classification. IJCA Proceedings on National Conference on Digital Image and Signal Processing NCDISP 2016(2):21-30, August 2016. Full text available. BibTeX

@article{key:article,
	author = {C. H. Patil and S. M. Mali},
	title = {Article: Handwritten Marathi Consonants Recognition using Multilevel Classification},
	journal = {IJCA Proceedings on National Conference on Digital Image and Signal Processing},
	year = {2016},
	volume = {NCDISP 2016},
	number = {2},
	pages = {21-30},
	month = {August},
	note = {Full text available}
}

Abstract

This paper presents approach for the recognition of handwritten Marathi consonants. In order to recognize handwritten Marathi consonants, a database of handwritten Marathi consonants is developed to carry recognition experiments. Problem of handwritten Marathi consonant recognition is simplified using multilevel classificationwhich improves recognition rate. Total 36 Marathi consonants are transformed using instance simplification technique into six sub classesdepending on special property of consonants. Suitable features are extracted from different sub classes and further classification is carried out using SVM and k-NN classifiers. We have used database of 7920 characters for testing and found recognition accuracy 78. 27% using SVM classifier and 73. 29% using k-NN classifier.

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