An Improvement of Instance-Based Skew Estimation
| Language | Japanese |
|---|---|
| Type | Proceedings of Japanese Conferences |
| Authors | Megumi Sakai, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise |
| Title | An Improvement of Instance-Based Skew Estimation |
| Journal | IEICE Technical Report |
| No. | 491 |
| Presentation number | PRMU2007-214 |
| Pages | pp.1-6 |
| Reviewed | Not reviewed |
| Date | February 2008 |
| Research fields | Document Image Analysis |
| Key | Sakai2008 (id=1009) |
Abstract
The purpose of this report is to improve an instance-based deskewing technique which is free from the conventional assumption that text lines are straight and parallel. The instances describe the relation among the skew angle, a skew variant, and a skew invariant in an compact manner. A main idea of the improvement is to increase the number of the skew invariants for more stable estimation of the skew angle. An experimental result on 55 document images showed that their skew angles were successfully estimated with errors smaller than 2.0 degrees.
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