By Topic

Error correction scheme augmented with statistical and lexical learning capability, for Japanese OCR

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Kazunori, M. ; Inf. Technol. Res. Lab., NEC Corp., Kawasaki

This paper proposes an improved error-correction scheme based on word-pair grammar augmented by statistical and lexical learning capability derived from manual error correction history. This learns corrections by hand to update probability score on the confusion matrix and memorizes new strings of characters gained after error-correction as to use them as a parameter of likelihood calculation for automatic error correction. The small evaluation of this algorithm has revealed, word-pair parsing based error correction improves about 2.5% of recognition rate, confusion matrix based statistical learning improves about 1.0%, and character string learning incorporated with statistical learning improves about 1.4% to output the recognition rate more than 99%, while OCR bare recognition rate is about 95%

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996