Title :
Multi-lingual character recognition using artificial neural networks
Author :
Meiyappan, Subramanian S. ; Sridharan, Shobana ; Ososanya, Esther T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
Character recognition is one famous problem that artificial neural networks have been applied to deal with. But, recognizing characters from multiple languages is relatively new and needs to be investigated in depth. This paper describes one such implementation. An artificial neural network was designed to recognize a bilingual character set of Tamil and English, even in a noisy environment. The system was designed, implemented, trained and tested and was found to exhibit an accuracy of 93% on noisy characters
Keywords :
character recognition; multilayer perceptrons; English; Tamil; accuracy; artificial neural networks; bilingual character set; design; multi-lingual character recognition; multilayer perceptron; multiple languages; noisy environment; testing; training; Artificial neural networks; Biological neural networks; Character recognition; Computer networks; Equations; Multilayer perceptrons; Natural languages; Neurons; System testing; Working environment noise;
Conference_Titel :
Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-3088-9
DOI :
10.1109/SECON.1996.510102
