Fast Affine Invariant Character Recognition Using Unique Determination of Feature Points
| Language | Japanese |
|---|---|
| Type | Journal Articles |
| Authors | Akira Horimatsu, Masakazu Iwamura, Koichi Kise |
| Title | Fast Affine Invariant Character Recognition Using Unique Determination of Feature Points |
| Journal | Trans. IEICE |
| Vol. | J98-D |
| No. | 4 |
| Pages | pp.651-660 |
| Reviewed | Reviewed |
| Date | April 2015 |
| Research fields | Pattern recognition |
| DOI | 10.14923/transinfj.2014IUP0016 |
| URL | http://search.ieice.org/bin/summary.php?id=j98-d_4_651 |
| Key | Horimatsu2015 (id=1430) |
Abstract
Scene text captured with a digital camera or a smartphone suffers from various degradation. Thus, it is desired that a character recognition technique is robust to the degradation. In this paper, we focus on perspective distortion and propose a character recognition method that is fast, invariant to affine distortion and free from layout constraint. For affine invariant matching, geometric hashing is a well-known method for object recognition. However, it is computationally too expensive. Thus, we propose a method to greatly reduce the computational cost.
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