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Published in:

Volume 8 Issue 1
January-2021
eISSN: 2349-5162

Unique Identifier

JETIR2101063

Page Number

474-479

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Title

Off-Line Handwritten recognition using fuzzy logic and genetic algorithm

ISSN

2349-5162

Cite This Article

"Off-Line Handwritten recognition using fuzzy logic and genetic algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.474-479, January-2021, Available :http://www.jetir.org/papers/JETIR2101063.pdf

Abstract

This paper discusses about the recognition of handwritten characters of Kannada. In particular we concentrate about the hybrid technique which is used in here. This approach uses two algorithms which are genetic and fuzzy logic for recognition. Feature extraction is the estimation of certain attributes of the target patterns. Selection of the right set of features is the most crucial and complex part of building a pattern recognition system. The novelty of this approach is to achieve better accuracy and reduced computational time for recognition of handwritten characters using Genetic Algorithm which optimizes the number of features along with a simple and Fuzzy Logic. We will analyze the performance and accuracy of the system.

Key Words

Pattern recognition, Genetic algorithm, Fuzzy Logic, Feature Extraction.

Cite This Article

"Off-Line Handwritten recognition using fuzzy logic and genetic algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp474-479, January-2021, Available at : http://www.jetir.org/papers/JETIR2101063.pdf

Publication Details

Published Paper ID: JETIR2101063
Registration ID: 304895
Published In: Volume 8 | Issue 1 | Year January-2021
DOI (Digital Object Identifier):
Page No: 474-479
ISSN Number: 2349-5162

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Cite This Article

"Off-Line Handwritten recognition using fuzzy logic and genetic algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp474-479, January-2021, Available at : http://www.jetir.org/papers/JETIR2101063.pdf




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