Character recognition method employing non-character recognizer

Details Character recognition method employing non-character recognizer Character recognition method employing non-character recognizer

1992-02-28

1994-08-09

Mancuso, Joseph

Image analysis

Histogram processing

For setting a threshold

382 25, 382 30, 395 21, G06K 962

Patent

active

053373707

ABSTRACT:
A method for recognition of an unconstrained written character image employs at least one non-character recognizer in addition to character recognizers for each candidate character. The input image is rejected if any of the non-character recognizers produces a match. The input image is recognized only if a) a character recognizer produces a match, and b) none of the non-character recognizers produces a match. The non-character recognizers are preferably trained on a) images which are not recognized by the set of character recognizers, B) images which are misclassified by at least one of the set of character recognizers result, and c) incorrectly segmented images. In the preferred embodiment of this invention individual segmented digit images are recognized for automatic sorting of mail by ZIP code. In the preferred embodiment plural character recognizers and at least one non-character recognizer are embodied in a neural network using a place encoding output. The preferred embodiment includes window encoding of the normalized image and plural cavity feature images derived from the normalized image. A set of encoded values is computed from the ratio of the number of stroke pixels within the overlapping windows divided by the size of the window.

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