- author = "Eslam Hamouda and Taher Hamza and Elsayed Radwan",
- title = "Genetic programming with Automatically Defined Function in Isolated Arabic Optical Character Recognition",
- journal = "Egyptian Computer Science Journal",
- year = "2010",
- volume = "34",
- number = "5",
- month = sep,
- keywords = "genetic algorithms, genetic programming, Automatically Defined Function, Optical Character Recognition, Arabic Typewritten, Classification",
- ISSN = "1110-2586",
- timestamp = "Sat, 06 Apr 2013 15:32:50 +0200",
-
biburl = "
https://dblp.org/rec/bib/journals/ecs/HamoudaHR10",
- bibsource = "dblp computer science bibliography, https://dblp.org",
-
URL = "http://ecsjournal.org/JournalArticle.aspx?articleID=267",
- 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.",
-
notes = "http://ecsjournal.org/Default.aspx
Faculty of Computers and Information sciences, Computer science Department, Mansoura University, Egypt",
