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A Combination of Neuron Networks and Genetic Algorithms for Nom Character Recognition

— Nom character, Vietnamese ancient language, is a cultural heritage that has played a particularly important role in creating a brilliant literary culture throughout the centuries in Vietnam. Nom character is very valuable in studying the life of the ancient Vietnamese in many fields literature, thought, philosophy, language, law, morality, etc. Reading and writing the character in Vietnam nowadays are not popular, so the digitization of its letters is an important task. In this paper, we present an approach of Neuron Networks and Genetic Algorithms to provide a good optical recognition method of Nom character. This contribution helps to build a tool that can identify, transform Nom character into Vietnamese language effectively.