Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols
Neural and Evolutionary Computing
2016-07-08 v1 Machine Learning
Abstract
Optical Character Recognition software (OCR) are important tools for obtaining accessible texts. We propose the use of artificial neural networks (ANN) in order to develop pattern recognition algorithms capable of recognizing both normal texts and formulae. We present an original improvement of the backpropagation algorithm. Moreover, we describe a novel image segmentation algorithm that exploits fuzzy logic for separating touching characters.
Keywords
Cite
@article{arxiv.1607.02028,
title = {Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols},
author = {Giuseppe Airò Farulla and Tiziana Armano and Anna Capietto and Nadir Murru and Rosaria Rossini},
journal= {arXiv preprint arXiv:1607.02028},
year = {2016}
}