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A METHOD FOR RESOLVING CONTRADICTING OUTPUT DATA FROM AN OPTICAL CHARACTER RECOGNITION (OCR) SYSTEM, WHEREIN THE OUTPUT DATA COMPRISES MORE THAN ONE RECOGNITION ALTERNATIVE FOR AN IMAGE OF A CHARACTER
A METHOD FOR RESOLVING CONTRADICTING OUTPUT DATA FROM AN OPTICAL CHARACTER RECOGNITION (OCR) SYSTEM, WHEREIN THE OUTPUT DATA COMPRISES MORE THAN ONE RECOGNITION ALTERNATIVE FOR AN IMAGE OF A CHARACTER
The present invention is related to a method for resolving contradicting output data from an Optical Character Recognition (OCR) system providing a conversion of pixelized documents into computer coded text as the output data, wherein the OCR output data comprises at least a first and second character listed as being likely candidates for an exemplar of a same sampled character instance from the pixelized document, by providing steps that identify locations of differences in graphical appearance between the candidate characters, and then using the location information to identify a corresponding locations in the sampled character instance. Based on correlation technique, this location information is used to select the correct candidate character as the identification of the sampled character instance.
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