A comparison inequality function based method for accelerated OCR correlation

摘要

A general method of accelerating the classification of an unclassified input symbol S into a library of pre-classified templates employs a comparison inequality function. The correlation calculation is initiated between the input symbol S and templates retrieved from the library of templates. Templates with a low degree of correlation are excluded prior to completion of the correlation calculation to accelerate the correlation. Sorting by template intensity permits the template foreground pixels to be correlated first, which also accelerates the correlation calculation. A second sort by discrimination power permits critical conflict pixels to be correlated first for further accelerating the correlation calculation.