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, Azizah, Shakil, Asma, Sulaiman, Md. Nasir, Othman, Mohamed, O. K. Rahmat, Rahmita Wirza
Format: Conference or Workshop Item
Language:en
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/69021/1/Hybrid%20of%20HMM%20and%20fuzzy%20logic%20for%20handwritten%20character%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/69021/
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author Suliman, Azizah
Shakil, Asma
Sulaiman, Md. Nasir
Othman, Mohamed
O. K. Rahmat, Rahmita Wirza
author_facet Suliman, Azizah
Shakil, Asma
Sulaiman, Md. Nasir
Othman, Mohamed
O. K. Rahmat, Rahmita Wirza
author_sort Suliman, Azizah
building UPM Library
collection Institutional Repository
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
continent Asia
country Malaysia
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.
format Conference or Workshop Item
id my.upm.eprints-69021
institution Universiti Putra Malaysia
language en
publishDate 2008
publisher IEEE
record_format eprints
spelling my.upm.eprints-690212019-06-12T07:33:17Z http://psasir.upm.edu.my/id/eprint/69021/ Hybrid of HMM and fuzzy logic for handwritten character recognition Suliman, Azizah Shakil, Asma Sulaiman, Md. Nasir Othman, Mohamed O. K. Rahmat, Rahmita Wirza 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. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69021/1/Hybrid%20of%20HMM%20and%20fuzzy%20logic%20for%20handwritten%20character%20recognition.pdf Suliman, Azizah and Shakil, Asma and Sulaiman, Md. Nasir and Othman, Mohamed and O. K. Rahmat, Rahmita Wirza (2008) Hybrid of HMM and fuzzy logic for handwritten character recognition. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631674
spellingShingle Suliman, Azizah
Shakil, Asma
Sulaiman, Md. Nasir
Othman, Mohamed
O. K. Rahmat, Rahmita Wirza
Hybrid of HMM and fuzzy logic for handwritten character recognition
title 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_short Hybrid of HMM and fuzzy logic for handwritten character recognition
title_sort hybrid of hmm and fuzzy logic for handwritten character recognition
url http://psasir.upm.edu.my/id/eprint/69021/1/Hybrid%20of%20HMM%20and%20fuzzy%20logic%20for%20handwritten%20character%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/69021/
url_provider http://psasir.upm.edu.my/