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6

ICEC
1994

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Learning and Upgrading Rules for an OCR System Using Genetic Programming

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Learning and Upgrading Rules for an OCR System Using Genetic Programming

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:Rule-basedsystemsused for OpticalCharacterRecognition (OCR)are notoriously difficultto write,maintain,and upgrade. Thispaperdescribesa method forusing Genetic Programming(GP) to evolveand upgrade rules for an OCR system. The languageof the evolved programs was designedsuch that humanhand-coded rulescanbe included intothe initial populationin orderto upgrade for a new font. Thesystemwas successfulatlearningrules for largecharactersetsconsistingof multiplefontsand sizes,with very good generalizationto test sets. In addition,the methodwas found tobe successfulatupdating hand-coded rules written in C for new fonts. Thisresearch demonstratesthe successfulapplicationof GP to a difficult,noisy, real-world problem.

David Andre

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And Upgrade | Difficultto Write | ICEC 1994 | Maintain |

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Added	02 Nov 2010
Updated	02 Nov 2010
Type	Conference
Year	1994
Where	ICEC
Authors	David Andre

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