Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Akira Horimatsu, Masakazu Iwamura, and 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 or not | Reviewed |
| Month & Year | April 2015 |
| 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. |
| DOI | 10.14923/transinfj.2014IUP0016 |
| URL | http://search.ieice.org/bin/summary.php?id=j98-d_4_651 |
- Entry for BibTeX
@Article{Horimatsu2015, author = {Akira Horimatsu and Masakazu Iwamura and Koichi Kise}, title = {Fast Affine Invariant Character Recognition Using Unique Determination of Feature Points}, journal = {Trans. IEICE}, year = 2015, month = apr, volume = {J98-D}, number = {4}, pages = {651--660}, DOI = {10.14923/transinfj.2014IUP0016}, URL = {http://search.ieice.org/bin/summary.php?id=j98-d_4_651} }