A new neural network based algorithm for identifying handwritten mathematical equations
- 1 May 2017
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2017 International Conference on Trends in Electronics and Informatics (ICEI)
Abstract
Identification of handwritten digits, letters, mathematical symbols and complex structure expressions have captured a lot of concentration in the field of pattern recognition. Accuracy has been improved by considering the features like skew, entropy, kurtosis, standard deviation. In segmentation binarization, edge detection, morphological operation has been considered. The equations under various categories have been considered for experiment and achieved significant results. Latency, throughput and accuracy have been improved by using feed forward back propagation neural network with gradient descent with momentum algorithm and adaptive learning.Keywords
This publication has 9 references indexed in Scilit:
- Deep neural networks for recognizing online handwritten mathematical symbolsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- MLPNN based handwritten character recognition using combined feature extractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov modelsPattern Recognition Letters, 2014
- Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Interactive Fuzzy Model Based Recognition of Handwritten NumeralsJournal of Pattern Recognition Research, 2011
- An Improved Analysis Approach of Overbrace/Underbrace Structure in Printed Mathematical ExpressionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure informationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- A multiple-classifier system for recognition of printed mathematical symbolsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Segmentation and recognition of symbols within handwritten mathematical expressionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002