Character recognition method using correlation search

Image analysis – Histogram processing – For setting a threshold

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382 15, 395 21, 395 23, G06K 962

Patent

active

051504251

ABSTRACT:
A character recognition method comprising the following steps: (1) acquiring a two dimensional array of pixels, (2) locating an unknown character in the two dimensional array, (3) computing correlation coefficients between an unknown character and a trained set of characters (i.e., a font), (4) recognizing the unknown character as the trained character with the highest correlation coefficient above a threshold. The manner in which trained characters are chosen is described herein as a correlation search. Correlation search results in a fast means of correctly classifying an unknown character from a large training set, often on the second or third try, depending on the inner-correlations of the trained characters.

REFERENCES:
patent: 3873972 (1975-03-01), Levine
patent: 4177448 (1979-12-01), Brayton
patent: 4764973 (1988-08-01), O'Hair
patent: 4805225 (1989-02-01), Clark
patent: 4932065 (1990-06-01), Feldgajer

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