Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols

July 06, 2016 ยท Declared Dead ยท ๐Ÿ› International Conference on Computers for Handicapped Persons

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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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