Neural Networks (NN) provide a promising approach to solve problems which are very hard for classical Artificial Intelligence, in fact due to their generalization capability and noise insensitivity, they have been applied to pattern recognition with very encouraging results. In this paper a Multi-Layer Back-Propagation Neural Network for the Optical Character Recognition (NNORC) is presented. NNORC acquire data from a scanner system, recognizes the typewritten characters, assigns them an ASCII code and store the informations in a computer file, accessible from any available program for further processing as editing, data bases, cross-checking comparisons. The implemented system NNORC runs on PC 486-33MHZ and starting from documents of omnifonts type of the Latin alphabet recognizes 20 characters per second.
Buttarazzi, B. (1994). NNORC - a neural network for the optical character recognition. In IEEE International Conference on Neural Networks - Conference Proceedings (pp.4061-4065). IEEE, Piscataway, NJ, United States.
NNORC - a neural network for the optical character recognition
BUTTARAZZI, BERTA
1994-01-01
Abstract
Neural Networks (NN) provide a promising approach to solve problems which are very hard for classical Artificial Intelligence, in fact due to their generalization capability and noise insensitivity, they have been applied to pattern recognition with very encouraging results. In this paper a Multi-Layer Back-Propagation Neural Network for the Optical Character Recognition (NNORC) is presented. NNORC acquire data from a scanner system, recognizes the typewritten characters, assigns them an ASCII code and store the informations in a computer file, accessible from any available program for further processing as editing, data bases, cross-checking comparisons. The implemented system NNORC runs on PC 486-33MHZ and starting from documents of omnifonts type of the Latin alphabet recognizes 20 characters per second.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
