Hybrid of HMM and Fuzzy Logic for handwritten character recognition

This paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results fr...

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Main Authors: Suliman, A., Shakil, A., Sulaiman, Md.N., Othman, M., Wirza, R.
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Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/8755
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spelling my.uniten.dspace-87552018-02-21T04:24:40Z Hybrid of HMM and Fuzzy Logic for handwritten character recognition Suliman, A. Shakil, A. Sulaiman, Md.N. Othman, M. Wirza, R. This paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results from a few sample images give a reasonable recognition rate on a more challenging database of lower-case handwritten characters. This proved the proposed hybrid of the two techniques are compatible and can be used to complement each other effectively. © 2008 IEEE. 2018-02-21T04:24:40Z 2018-02-21T04:24:40Z 2008 http://dspace.uniten.edu.my/jspui/handle/123456789/8755
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results from a few sample images give a reasonable recognition rate on a more challenging database of lower-case handwritten characters. This proved the proposed hybrid of the two techniques are compatible and can be used to complement each other effectively. © 2008 IEEE.
format
author Suliman, A.
Shakil, A.
Sulaiman, Md.N.
Othman, M.
Wirza, R.
spellingShingle Suliman, A.
Shakil, A.
Sulaiman, Md.N.
Othman, M.
Wirza, R.
Hybrid of HMM and Fuzzy Logic for handwritten character recognition
author_facet Suliman, A.
Shakil, A.
Sulaiman, Md.N.
Othman, M.
Wirza, R.
author_sort Suliman, A.
title Hybrid of HMM and Fuzzy Logic for handwritten character recognition
title_short Hybrid of HMM and Fuzzy Logic for handwritten character recognition
title_full Hybrid of HMM and Fuzzy Logic for handwritten character recognition
title_fullStr Hybrid of HMM and Fuzzy Logic for handwritten character recognition
title_full_unstemmed Hybrid of HMM and Fuzzy Logic for handwritten character recognition
title_sort hybrid of hmm and fuzzy logic for handwritten character recognition
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/8755
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score 13.160551