Publication: Hybrid of HMM and Fuzzy Logic for handwritten character recognition
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Date
2008
Authors
Suliman A.
Shakil A.
Sulaiman Md.N.
Othman M.
Wirza R.
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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. � 2008 IEEE.
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Keywords
Character recognition , Computational linguistics , Feature extraction , Fuzzy sets , Fuzzy systems , Hidden Markov models , Information technology , Extracting features , Handwritten character recognitions , Handwritten characters , Hybrid approaches , Linguistic variables , Recognition rates , Fuzzy logic