Improvement of Word Recognition Accuracy with Spellchecker Based on Tendency of Recognition Error of Characters
| Language | Japanese |
|---|---|
| Type | Proceedings of Japanese Conferences |
| Authors | Nobuhiko Asada, Masakazu Iwamura, Koichi Kise |
| Title | Improvement of Word Recognition Accuracy with Spellchecker Based on Tendency of Recognition Error of Characters |
| Journal | IEICE Technical Report |
| Presentation number | PRMU2010-268 |
| Location | 茨城県つくば市 |
| Reviewed | Not reviewed |
| Presentation type | Oral |
| Date | March 2011 |
| Research fields | Pattern recognition |
| Key | Asada2011 (id=1202) |
Abstract
In this paper, we discuss a method to cope with severe perspective distortion to realize \all-round recog- nition" of characters and words in the environment. We have proposed a word recognition method satisfying three requirements: ready for real-time processing, free from layout constraints and robust to perspective distortion. The method has the capability to recognize characters captured from the angle of 45 deg. However, in order to realize the all-round recognition, further robustness is required. Thus in this paper, we introduce the GNU Aspell to rectify the recognition results based on the tendency of recognition errors. For the sake of that, we introduce Metashape based on the recognition errors instead of Metaphone of the Aspell based on phonemes. In the experiments, we found that the proposed method improves the recognition rates for words captured from the angle of 20 deg. from about 24% to about 74% at largest.
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