Method and mechanism to reduce handwriting recognizer errors usi

Image analysis – Pattern recognition – On-line recognition of handwritten characters

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382224, G06K 900, G06K 962

Patent

active

060614722

ABSTRACT:
An improved method and mechanism for recognizing chirographs (handwritten characters) input into a computer system. A primary recognizer is provided for converting chirographs to code points, and secondary recognizers such as binary CART trees are developed and trained to differentiate chirographs which produce certain code points at the primary recognizer. Each such secondary recognizer is associated with each selected code point. When a chirograph is received, the chirograph is provided to the primary recognizer whereby a code point corresponding thereto is received. If the code point corresponds to one of the secondary recognizers, the chirograph is passed to the secondary recognizer, and a code point is returned from the secondary recognizer. If not, the code point provided by the primary recognizer is returned. The invention sets forth an automated process for training the CART trees and for optimizing the recognition mechanism by discarding CART trees which do not improve on the recognition accuracy of the primary recognizer.

REFERENCES:
patent: 4589142 (1986-05-01), Bednar
patent: 4975975 (1990-12-01), Filipski
patent: 5067165 (1991-11-01), Nishida
H. Guo et al., Classification trees with neural network feature extraction, IEEE Transactions on Neural Networks, p. 923-933, Nov. 1992.
Breiman et al., Classification and Regression Trees, Wadsworth & Brooks, pp. 27-36, 66-81, 1984.
Steinberg et al., CART: Classification and Regression Trees, Tree-structured nonparmetric data analysis, Salford Systems, pp. 12-24, 87-105, 1995.
Burges et al., "Recognition of Handwritten Cursive Postal Words Using Neural Networks," USPS Advanced Technol Conference, (Nov. 30-Dec. 2, 1992).
Burges et al., "Shortest Path Segmentation: A Method for Training a Neural Network to Recognize Character Strings," IJCNN '92 Conference Proceedings, vol. 3, pp. 165-171 (1992).
Rumelhart, David E., "Theory to Practice: A Case Study--Recognizing Cursive Handwriting," Computational Learning & Cognition, Proceedings of the Third NEC Research Symposium, Chapter 8, pp. 177-196 (1992).
Forney Jr., G. David, "The Viterbi Algorithm," Proceedings of the IEEE, vol. 61, No. 3 (Mar. 1973) pp. 268-278.

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

Method and mechanism to reduce handwriting recognizer errors usi does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and mechanism to reduce handwriting recognizer errors usi, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and mechanism to reduce handwriting recognizer errors usi will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1072930

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