Noise tolerant optical character recognition system

Image analysis – Histogram processing – For setting a threshold

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382 25, 382 22, G06K 900

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active

052376273

ABSTRACT:
Disclosed is a system of optical character recognition that first segments a page image into character images. A set of features is extracted and compared to proto-features from a template in order to classify a character, and convert it into a character code. This comparison is performed by comparing each feature of a character image to each proto-feature of each template to create a match rating list which is sorted in descending order. The top match rating and any close ratings are selected and output. To create the ratings, the angles and lengths of the features and proto-features are compared and then the result is normalized to a specific range of values.

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