CRUGA character recognition using Genetic Algorithm

Character Recognition in an automated or semi-automated manner has many applications in numerous fields. It is somehow quite impossible to create an algorithm that perfectly recognizes characters because of noise and varying font styles, therefore designing such algorithms with these failures in min...

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Bibliographic Details

Main Authors:	Calamay, Kenneth Lindsey T. (Author), Quejada, Laurence Anthony B. (Author)
Other Authors:	Yusiong, John Paul T. (adviser.)
Format:	Thesis
Language:	English
Published:	2007.
Subjects:	Character recognition. Genetic Algorithms. Neural networks. OCR. Training algorithms.