所蔵: Hybrid of HMM and Fuzzy Logic for handwritten character recognition

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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主要な著者:	Suliman A., Shakil A., Sulaiman Md.N., Othman M., Wirza R.
その他の著者:	25825739000
フォーマット:	Conference paper
出版事項:	2023
主題:	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
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Hybrid of HMM and Fuzzy Logic for handwritten character recognition

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