This research focused on the off-line cursive script recognition application. The problem is very large and difficult and there is much room for improvement in every aspect of the problem. Many different aspects of this problem were explored in pursuit of solutions to create a more practical and usable off-line cursive script recognizer than is currently available.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc277710 |
| Date | 08 1900 |
| Creators | Carroll, Johnny Glen, 1953- |
| Contributors | Fisher, Paul S., Knezek, Gerald A., Tate, Stephen B., Yang, Chao-Chih |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | x, 161 leaves: ill., Text |
| Rights | Public, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved., Carroll, Johnny Glen, 1953- |
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