| Título: | Automatic Neural Generalized Font Identification. ICANN 98, International Conference on Artificial Neural Network. Proceedings. Niklasson, M. Boden and T. Ziemke (Eds). ICAN 755-760.2. Springer. |
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| Autor: | Gonzalez, A.M., Dorronsoro, J.R., & Santa Cruz, C. |
| Año: | 1998 |
| Enlace: | http://link.springer.com/chapter/10.1007/978-1-4471-1599-1_116 |
Abstract
Neural methods are gaining a steady acceptance as powerful tools in a variety of pattern detection problems, OCR certainly being one of them. The concrete implementation of these neural OCR systems is of course a well-guarded corporate secret, but in broad terms it can be said that in most of the cases, multilayer perceptrons (MLPs) are used. There are several reasons for the MLPs’ success. To begin with, they are based in well understood mathematical and statistical principles and there are efficient tools and methodologies for their training and evaluation.
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