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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abuhaiba, I.S.I. Datta, S. Holt, M.J.J. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Comput. Eng., King Saud Univ., Riyadh, Saudi Arabia (Abuhaiba, I.S.I.) |
| Abstract | A method is developed to extract lines from pages of handwritten text by finding the shortest spanning tree of a graph formed from the set of main strokes. Main strokes of extracted lines are arranged in the same order as they were written by following the path in which they are contained. Then, every secondary stroke is assigned to the closest main stroke. At the end, an ordered list of main strokes each with the corresponding number of assigned secondary strokes is obtained. Each combination of main-secondary strokes can be the input to a subsequent recognition stage. The method is more suited to variable handwriting. |
| Starting Page | 390 |
| Ending Page | 393 |
| File Size | 410497 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818671289 |
| DOI | 10.1109/ICDAR.1995.599020 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-08-14 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Writing Tree graphs Text recognition Mood |
| Content Type | Text |
| Resource Type | Article |
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