Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols
July 06, 2016 ยท Declared Dead ยท ๐ International Conference on Computers for Handicapped Persons
"No code URL or promise found in abstract"
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Authors
Giuseppe Airรฒ Farulla, Tiziana Armano, Anna Capietto, Nadir Murru, Rosaria Rossini
arXiv ID
1607.02028
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.LG
Citations
4
Venue
International Conference on Computers for Handicapped Persons
Last Checked
4 months ago
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.
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