Genetic Algorithms for Optical Character Recognition

Genetic Algorithms for Optical Character Recognition

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The question then arose as how to properly locate and align scanned characters with the assumed positions of characters generated by fonts, stored in a digital image database. This line recognition problem utilized a genetic algorithm to determine the number of lines of text in the image and their relative positions to a world coordinate system. Forty pages of text skewed at different angles test the line recognition genetic algorithm with a high degree of success.the OCR and CDC programs have the same implementation of the moment equations, the verification step uses just the OCR ... Incorporation of Flusser- Suka#39;s moment code into the OCR program requires a translation of the MATLAB momentanbsp;...

Title:Genetic Algorithms for Optical Character Recognition
Author:Joseph John Svitak (Jr)
Publisher:ProQuest - 2008


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