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...

Full description

Saved in:
Bibliographic Details
Main Authors: Suliman A., Shakil A., Sulaiman Md.N., Othman M., Wirza R.
Other Authors: 25825739000
Format: Conference paper
Published: 2023
Subjects:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
Description
Summary: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.

Similar Items