Implementation and design of a new model of neural network with application to typographical character recognition
José María Gómez, O. Lopez, Manuel Montes, Sebastià A. Bota, I. Juvells, A. Herms · 2002
Neural networks have received considerable attention during the lasts years, specially in the field of image recognition. On the other hand, error correcting codes are widely applied to the sampling system, transmission and storage of digital data. A new model of neural network has been developed, considering that a group of images can define a code. Also, an ASIC that is suitable for recognising a set or typographical characters has been designed. A description of the model, the basic architecture and the working modes of the designed circuit is presented.