Software for helping childish pre-alphabetization based on intellingent recognition of manuscript characters

Abstract

In this work, we propose the development of a software to help the childish prealphabetization, based on the recognition of manuscript characters, using the supervised artificial neural network. Previously, children of 5 and 6 years old ran the software composed of a set of letters of the alphabet written by other children in the same age, by means of the neural module that compounds its nucleus. After the training phase, the software, also composed of a multimedia interface duly characterized to interact with the child, was considered ready to use.