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Survey on various Improved Feature Extraction and Classification Techniques on Handwritten Marathi Character Recognition

Published on July 2015 by Parshuram M. Kamble, Ravindra S. Hegadi
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National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
Foundation of Computer Science USA
NCKITE2015 - Number 3
July 2015
Authors: Parshuram M. Kamble, Ravindra S. Hegadi
1f77a663-d74f-491f-bc20-e0136d30896e

Parshuram M. Kamble, Ravindra S. Hegadi . Survey on various Improved Feature Extraction and Classification Techniques on Handwritten Marathi Character Recognition. National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015). NCKITE2015, 3 (July 2015), 37-40.

@article{
author = { Parshuram M. Kamble, Ravindra S. Hegadi },
title = { Survey on various Improved Feature Extraction and Classification Techniques on Handwritten Marathi Character Recognition },
journal = { National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015) },
issue_date = { July 2015 },
volume = { NCKITE2015 },
number = { 3 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 37-40 },
numpages = 4,
url = { /proceedings/nckite2015/number3/21498-2669/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
%A Parshuram M. Kamble
%A Ravindra S. Hegadi
%T Survey on various Improved Feature Extraction and Classification Techniques on Handwritten Marathi Character Recognition
%J National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE 2015)
%@ 0975-8887
%V NCKITE2015
%N 3
%P 37-40
%D 2015
%I International Journal of Computer Applications
Abstract

Optical Character recognition of Indian scrip is challenging task, due to they have various type of shapes, curves and lines. We found variation in dataset of same writer in same time of same characters. In survey we found the researcher used various morphological, spatial domain techniques in pre-processing to remove noise, slant and skew of handwritten Marathi character. In recently Marathi character feature are extracted using some statistical, geometrical and structural methods. They are applied to classify k-nn, SVM, ANN, Decision Tree classification Methods for handwritten Marathi character classification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten Marathi Character Classification Segmentation Feature Extraction.