Abstract
In this paper we have developed a prototype of lecture support system using PDA’s, This lecture support system concern the fourth students. The extraction of parameters is based on the visual encoding gives 72% as a extraction rate. The originality of the on-line recognition method is in the vector of input of the neuronal network system. We developed database contains 50 000 Arabic words that 70% are used for learning the neural network system and 30% are used for testing the recognition system. The recognition rate obtained is 90%.
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Jouini, B., Kherallah, M., Alimi, A.M. (2003). A new approach for on-line visual encoding and recognition of handwriting script by using neural network system. In: Pearson, D.W., Steele, N.C., Albrecht, R.F. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0646-4_30
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DOI: https://doi.org/10.1007/978-3-7091-0646-4_30
Publisher Name: Springer, Vienna
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