Online Handwritten Mathematical Expressions Recognition System Using Fuzzy Neural Network
E. Naderan
TL;DR
This paper presents an online recognition system for handwritten mathematical expressions utilizing fuzzy neural networks to improve symbol recognition and structural analysis accuracy.
Contribution
It introduces a novel approach combining fuzzy neural networks with structural analysis for online handwritten math expression recognition.
Findings
Enhanced recognition accuracy for handwritten math symbols
Effective structural analysis of mathematical expressions
Potential for real-time online recognition applications
Abstract
The article describes developed information technology for online recognition of handwritten mathematical expressions that based on proposed approaches to handwritten symbols recognition and structural analysis.
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Taxonomy
TopicsAdvanced Scientific Research Methods · Advanced Computational Techniques in Science and Engineering · Information Systems and Technology Applications