COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT

With the advent of technological era, conversion of scanned document (handwritten or printed) into machine editable format has attracted many researchers. This paper deals with the problem of recognition of Gujarati handwritten numerals. Gujarati numeral recognition requires performing some specific...

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Main Authors: M. J. Baheti, K. V. Kale
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2012-01-01
Series:ICTACT Journal on Soft Computing
Subjects:
Online Access:http://ictactjournals.in/paper/ijsc_vol_2_iss_2_2012_1_paper_265to269.pdf
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author M. J. Baheti
K. V. Kale
author_facet M. J. Baheti
K. V. Kale
author_sort M. J. Baheti
collection DOAJ
description With the advent of technological era, conversion of scanned document (handwritten or printed) into machine editable format has attracted many researchers. This paper deals with the problem of recognition of Gujarati handwritten numerals. Gujarati numeral recognition requires performing some specific steps as a part of preprocessing. For preprocessing digitization, segmentation, normalization and thinning are done with considering that the image have almost no noise. Further affine invariant moments based model is used for feature extraction and finally Support Vector Machine (SVM) and Fuzzy classifiers are used for numeral classification. . The comparison of SVM and Fuzzy classifier is made and it can be seen that SVM procured better results as compared to Fuzzy Classifier.
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spelling doaj.art-0a03f7d51eb24393b05285d4ece16acc2022-12-21T22:38:18ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562012-01-0122265269COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPTM. J. Baheti0K. V. Kale1Department of Computer Science and Engineering, Shri Neminath Jain Brahmacharyashram’s Late Sau. Kantabai Bhavarlalji Jain College of Engineering, Maharashtra, IndiaDepartment of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Maharashtra, IndiaWith the advent of technological era, conversion of scanned document (handwritten or printed) into machine editable format has attracted many researchers. This paper deals with the problem of recognition of Gujarati handwritten numerals. Gujarati numeral recognition requires performing some specific steps as a part of preprocessing. For preprocessing digitization, segmentation, normalization and thinning are done with considering that the image have almost no noise. Further affine invariant moments based model is used for feature extraction and finally Support Vector Machine (SVM) and Fuzzy classifiers are used for numeral classification. . The comparison of SVM and Fuzzy classifier is made and it can be seen that SVM procured better results as compared to Fuzzy Classifier.http://ictactjournals.in/paper/ijsc_vol_2_iss_2_2012_1_paper_265to269.pdfSupport Vector MachineFuzzy ClassifierGujarati Handwritten Numerals
spellingShingle M. J. Baheti
K. V. Kale
COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
ICTACT Journal on Soft Computing
Support Vector Machine
Fuzzy Classifier
Gujarati Handwritten Numerals
title COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
title_full COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
title_fullStr COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
title_full_unstemmed COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
title_short COMPARISON OF SVM AND FUZZY CLASSIFIER FOR AN INDIAN SCRIPT
title_sort comparison of svm and fuzzy classifier for an indian script
topic Support Vector Machine
Fuzzy Classifier
Gujarati Handwritten Numerals
url http://ictactjournals.in/paper/ijsc_vol_2_iss_2_2012_1_paper_265to269.pdf
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