Diseño de un modelo para el reconocimiento de patrones de escritura mediante uso de redes neuronales artificiales

Abstract

This thesis has as a general line the design of a model to recognize writing patterns, based on the currently successful artificial neural networks, for the great advances that have already been recorded in different studies. In the first phase we start with a state in which we find these two important areas, pattern recognition and neural networks, detailing the types of these and the training algorithms that exist to start with the most appropriate study that serves us in the project. The second phase describes the problem to design the solution, here also refers to the tool where the implementation for the tests will be designed. It is detailed in phase three as the implementation is done, and the program developed in MatLab, along with the tests of the model. Phase 4 is the discussion of results, so you can give the necessary conclusions and recommendations.