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|