Optical character recognition neural network system for machine-

Image analysis – Histogram processing – For setting a threshold

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382 9, 382 15, G06K 962, G06K 934

Patent

active

050480979

ABSTRACT:
Character images which are to be sent to a neural network trained to recognize a predetermined set of symbols are first processed by an optical character recognition pre-processor which normalizes the character images. The output of the neural network is processed by an optical character recognition post-processor. The post-processor corrects erroneous symbol identifications made by the neural network. The post-processor identifies special symbols and symbol cases not identifiable by the neural network following character normalization. For characters identified by the neural network with low scores, the post-processor attempts to find and separate adjacent characters which are kerned and characters which are touching. The touching characters are separated in one of nine successively initiated processes depending upon the geometric parameters of the image. When all else fails, the post-processor selects either the second or third highest scoring symbol identified by the neural network based upon the likelihood of the second or third highest scoring symbol being confused with the highest scoring symbol.

REFERENCES:
patent: 3192505 (1965-06-01), Rosenblatt
patent: 3267439 (1966-08-01), Bonner
patent: 3275985 (1966-09-01), Dunn et al.
patent: 3275986 (1966-09-01), Dunn et al.
patent: 3967243 (1976-06-01), Kawa
patent: 4479241 (1984-10-01), Buckley
patent: 4635290 (1987-01-01), Tsuji et al.
patent: 4876731 (1989-10-01), Loris et al.
patent: 4926491 (1990-05-01), Maeda et al.
Burr, "A Neural Network Digit Recognizer", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Atlanta, GA (1986) pp. 1621-1625.
Caudill, "Neural Networks Primer," AI Expert, Jun. 1988, pp. 53-59.
Hayashi et al., "Alphanumeric Character Recognition Using a Connectionist Model with the Pocket Algorithm," Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 606-613, Wash. D.C., Jun. 18, (1989).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Optical character recognition neural network system for machine- does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Optical character recognition neural network system for machine-, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optical character recognition neural network system for machine- will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-546843

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.