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ISSN: 1110-2586

Genetic programming with Automatically Defined Function in Isolated Arabic Optical Character Recognition
Eslam Hamouda
Faculty of Computers and Information sciences, Computer science Department, Mansoura University, Egypt
eslam_foad@mans.edu.eg		Taher Hamza
Faculty of Computers and Information sciences, Computer science Department, Mansoura University, Egypt
Elsayed Radwan
Faculty of Computers and Information sciences, Computer science Department, Mansoura University, Egypt
Abstract
Optical Character Recognition refers to the branch of computer science that involves reading text from paper and translating the images into a form that the computer can manipulate. This paper demonstrates the usefulness of Genetic Programming with Automatically Defined Functions for evolving Optical Character Recognition algorithms. The problem-specific information required for this technique is a set of training isolated Arabic characters in different fonts. The result is a set of algorithms that can determine which character is represented by an image.
Keywords
Automatically Defined Function, Optical Character Recognition, Arabic Typewritten, Genetic Programming, Classification