Character recognition method using statistically weighted correl

Details Character recognition method using statistically weighted correl Character recognition method using statistically weighted correl

1991-08-30

1992-10-27

Mancuso, Joseph

Image analysis

Histogram processing

For setting a threshold

382 15, 395 21, 395 23, G06K 962

Patent

active

051596440

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 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.

REFERENCES:
patent: 4177448 (1979-12-01), Brayton
patent: 4764973 (1988-08-01), O'Hair
patent: 5058180 (1991-10-01), Khan
patent: 5060277 (1991-10-01), Bokser
patent: 5086479 (1992-02-01), Takenaga et al.

Affiliated with

Also associated with

Rating

Character recognition method using statistically weighted correl does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Character recognition method using statistically weighted correl, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Character recognition method using statistically weighted correl will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-911672