Accuracy of recognition by means of a combination of classifiers
First Claim
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1. A method for an optical character recognition (OCR) system, the method comprising:
- training each of a plurality of classifiers by selecting separately for each of a plurality of characters weight coefficients for a weighted mean;
recognizing an input character based on the plurality of classifiers;
generating from each classifier an output by comparing the input character with a plurality of training patterns;
grouping the plurality of classifiers based on a classifier grouping criterion; and
combining the output of each of the plurality of classifiers based on the grouping, wherein combining the output of classifiers further comprises;
combining a weight output by each classifier into an interim weight in accordance with a formula for a weighted mean,using a formula for calculating the weighted mean which is selected for each character on a basis of a preliminary training process based upon the plurality of training patterns, andsubsequently combining the interim weights from the calculated weighted mean with corresponding determined classifiers so as to provide a complete combined final set of weighted classifiers.
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Abstract
In one embodiment, there is provided a method for an Optical Character Recognition (OCR) system. The method comprises: recognizing an input character based on a plurality of classifiers, wherein each classifier generates an output by comparing the input character with a plurality of trained patterns; grouping the plurality of classifiers based on a classifier grouping criterion; and combining the output of each of the plurality of classifiers based on the grouping.
20 Citations
28 Claims
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1. A method for an optical character recognition (OCR) system, the method comprising:
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training each of a plurality of classifiers by selecting separately for each of a plurality of characters weight coefficients for a weighted mean; recognizing an input character based on the plurality of classifiers; generating from each classifier an output by comparing the input character with a plurality of training patterns; grouping the plurality of classifiers based on a classifier grouping criterion; and combining the output of each of the plurality of classifiers based on the grouping, wherein combining the output of classifiers further comprises; combining a weight output by each classifier into an interim weight in accordance with a formula for a weighted mean, using a formula for calculating the weighted mean which is selected for each character on a basis of a preliminary training process based upon the plurality of training patterns, and subsequently combining the interim weights from the calculated weighted mean with corresponding determined classifiers so as to provide a complete combined final set of weighted classifiers. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An optical character recognition (OCR) system comprising:
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at least one memory; and at least one processor controlled by stored programmed instructions in the at least one memory that cause the OCR system to; train each of a plurality of classifiers by selecting separately for each of a plurality of characters weight coefficients for a weighted mean; recognize an input character based on the plurality of classifiers; generate an output from each classifier by comparing the input character with a plurality of trained patterns; group the plurality of classifiers based on a classifier grouping criterion; and combine the output of each of the plurality of classifiers based on the grouping, wherein combining the output of classifiers further comprises; combining a weight output by each classifier of at least one same type group into at least one interim weight in accordance with a formula for a weighted mean, using a formula for calculating the weighted mean which is selected for each character on a basis of a preliminary training process based upon the plurality of training patterns, and subsequently combining the interim weights from the calculated weighted mean with corresponding determined classifiers so as to provide a complete combined final set of weighted classifiers. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer readable medium having stored thereon a sequence of instructions which when executed by a computer, causes the computer to perform a method for an Optical Character Recognition (OCR) system, the method comprising:
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training each of a plurality of classifiers by selecting separately for each of a plurality of characters weight coefficients for a weighted mean; recognizing an input character based on the plurality of classifiers; generating from each classifier an output by comparing the input character with a plurality of trained patterns; grouping the plurality of classifiers based on a classifier grouping criterion; and combining the output of each of the plurality of classifiers based on the grouping, wherein combining the output of classifiers comprises; combining a weight output by each classifier of at least one same type group into at least one interim weight in accordance with a formula for a weighted mean, using a formula for calculating the weighted mean which is selected for each character on a basis of a preliminary training process based upon the plurality of training patterns, and subsequently combining the interim weights from the calculated weighted mean with corresponding determined classifiers so as to provide a complete combined final set of weighted classifiers. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification