Affine Invariant Character Recognition by Progressive Removing
| Language | Japanese |
|---|---|
| Type | Journal Articles |
| Authors | Masakazu Iwamura, Akira Horimatsu, Ryo Niwa, Koichi Kise, Seiichi Uchida, Shinichiro Omachi |
| Title | Affine Invariant Character Recognition by Progressive Removing |
| Journal | IEEJ Transactions on Industry Applications |
| Vol. | 131 |
| No. | 7 |
| Pages | pp.873-879 |
| Reviewed | Reviewed |
| Date | July 2011 |
| Research fields | Pattern recognition, Document Image Analysis |
| DOI | 10.1541/ieejias.131.873 |
| Key | Iwamura2011_IEEJ (id=1190) |
Abstract
Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine invariant features and a new recognition scheme called “progressive removing” that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial one without decreasing the recognition rate.
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