Hybrid of HMM and fuzzy logic for handwritten character recognition

Citation

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. .

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ITSIM.2008.4631674
Publisher:	IEEE
Keywords:	HMM; Fuzzy logic; Handwritten character recognition; Hybrid
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 07:33
Last Modified:	12 Jun 2019 07:33
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ITSIM.2008.4631674
URI:	http://psasir.upm.edu.my/id/eprint/69021
Statistic Details:	View Download Statistic

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