Loading [a11y]/accessibility-menu.js
Self-corrective character recognition system | IEEE Journals & Magazine | IEEE Xplore

Self-corrective character recognition system


Abstract:

The output of a simple statistical categorizer is used to improve recognition performance on a homogeneous data set. An array of initial weights contains a coarse descrip...Show More

Abstract:

The output of a simple statistical categorizer is used to improve recognition performance on a homogeneous data set. An array of initial weights contains a coarse description of the various classes; as the system cycles through a set of characters from the same source (a typewritten or printed page), the weights are modified to correspond more closely with the observed distributions. The true identifies of the characters remain inaccessible throughout the training cycle. This experimental study of the effect of the various parameters in the algorithm is based on\sim 30 000characters from fourteen different font styles. A fivefold average decrease over the initial rates is obtained in both errors and rejects.
Published in: IEEE Transactions on Information Theory ( Volume: 12, Issue: 2, April 1966)
Page(s): 215 - 222
Date of Publication: 06 January 2003

ISSN Information:


References

References is not available for this document.