Character recognition method using optimally weighted correlatio

Image analysis – Histogram processing – For setting a threshold

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382 30, G06K 968

Patent

active

052049140

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 weighted correlation coefficients between the unknown character and a trained set of characters (i.e. a font), (4) recognizing the unknown character as the trained character with the highest weighted correlation coefficient above a threshold. The weights in the correlation calculations are adjusted to place more emphasis on those areas of a trained character that distinguishes it from all other trained characters in the training set. A method for optimally adjusting these weights is described herein.

REFERENCES:
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patent: 3275985 (1966-09-01), Dunn et al.
patent: 3588821 (1971-06-01), LaSalle et al.
patent: 4731861 (1988-03-01), Blanton et al.

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