CHARACTER RECOGNITION METHOD USING STATISTICALLY WEIGHTED CORRELATION

Patent №

US 5,159,644

Granted

1992-10-27

Filed 1991

Owner

EASTMAN KODAK COMPANY

+1 more

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07752800

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 statistically 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 correlation coefficient above a threshold. The weights in the correlation calculations are adjusted to place more emphasis on those areas of a character that exhibit less noise and less emphasis on those areas of the character that exhibit more noise. A method for determining and using these weights is described herein.

AI classification

Vision1.00
Machine learning0.99
AI hardware0.78
Speech0.05
Natural language0.00
Knowledge representation0.00
Planning0.00
Evolutionary computation0.00

Ownership

EASTMAN KODAK COMPANY

assignment · 58400991

VIDEK CORPORATION

assignment · 64690904

Assignors

MARTIN, GREGORY J., CHEN, ROBERT YU, COOK, JOHN F., MASON, JAMES A.

On an employer assignment, the assignors are typically the inventors.

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