Artificial neural networks and fuzzy logic for recognizing alphabet   characters and mathematical symbols
  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. 
Giuseppe Air\`o Farulla, Tiziana Armano, Anna Capietto, Nadir Murru,   Rosaria Rossini
cs.NE cs.LG