Hybrid of HMM and Fuzzy Logic for handwritten character recognition

Azizah Suliman, Asma Shakil, Md Nasir Sulaiman, Mohamed Othman, Rahmita Wirza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
DOIs
Publication statusPublished - 12 Dec 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Publication series

NameProceedings - International Symposium on Information Technology 2008, ITSim
Volume2

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CountryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

Fingerprint

Character recognition
Fuzzy logic
Fuzzy rules
Linguistics

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Suliman, A., Shakil, A., Sulaiman, M. N., Othman, M., & Wirza, R. (2008). Hybrid of HMM and Fuzzy Logic for handwritten character recognition. In Proceedings - International Symposium on Information Technology 2008, ITSim [4631674] (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 2). https://doi.org/10.1109/ITSIM.2008.4631674
Suliman, Azizah ; Shakil, Asma ; Sulaiman, Md Nasir ; Othman, Mohamed ; Wirza, Rahmita. / Hybrid of HMM and Fuzzy Logic for handwritten character recognition. Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. (Proceedings - International Symposium on Information Technology 2008, ITSim).
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Suliman, A, Shakil, A, Sulaiman, MN, Othman, M & Wirza, R 2008, Hybrid of HMM and Fuzzy Logic for handwritten character recognition. in Proceedings - International Symposium on Information Technology 2008, ITSim., 4631674, Proceedings - International Symposium on Information Technology 2008, ITSim, vol. 2, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, Malaysia, 26/08/08. https://doi.org/10.1109/ITSIM.2008.4631674

Hybrid of HMM and Fuzzy Logic for handwritten character recognition. / Suliman, Azizah; Shakil, Asma; Sulaiman, Md Nasir; Othman, Mohamed; Wirza, Rahmita.

Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631674 (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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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Suliman A, Shakil A, Sulaiman MN, Othman M, Wirza R. Hybrid of HMM and Fuzzy Logic for handwritten character recognition. In Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631674. (Proceedings - International Symposium on Information Technology 2008, ITSim). https://doi.org/10.1109/ITSIM.2008.4631674