Methods of processing data from multiple image sources to provide normalized confidence levels for use in improving performance of a recognition processor

Abstract

A method comprises receiving from a first data source first recognition results which are associated with the first data source, and receiving from a second data source second recognition results which are associated with the second data source. The method further comprises electronically by a processor, processing a first set of confidence levels associated with the first recognition results to provide a first set of normalized confidence levels associated with the first data source, and electronically by a processor, processing a second set of confidence levels associated with the second recognition results to provide a second set of normalized confidence levels associated with the second data source. The method also comprises storing the first set of normalized confidence levels associated with the first data source in a first table of normalized confidence levels and the second set of normalized confidence levels associated with the second data source in a second table of normalized confidence levels.

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