Title :
Neural models of cursive script handwriting
Author_Institution :
Dept. of Comput. Sci., Genoa Univ., Italy
Abstract :
The main characteristics of cursive script handwriting are reviewed, and a basic coding scheme is described. Two types of neural networks are described: (i) a self-organizing network, similar to that used by T. Kohonen for his phonetic typewriter (see IEEE Comput., p.11-22, 1988), which is able to discover Graphotopic Maps; (ii) a three-layer perceptron called NetWrite in analogy with the NeTalk architecture developed by C.R. Rosemberg and T. Sejnowksi (see Complex Syst., vol.1, p.145-68, 1987), that can recognize digraphs. Pros and cons are discussed, as well as an integration proposal.<>
Keywords :
character recognition; directed graphs; encoding; neural nets; Graphotopic Maps; NeTalk architecture; NetWrite; coding scheme; cursive script handwriting; digraphs; neural networks; self-organizing network; three-layer perceptron; Character recognition; Directed graphs; Encoding; Neural networks;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118295
