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Handwritten character recognition using elastic matching based on a category-dependent deformation model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Seiichi, Uchida 内田, 誠一 迫江, 博昭 Hiroaki, Sakoe |
| Copyright Year | 2003 |
| Abstract | For handwritten character recognition, a new elastic image matching (EM) technique based on a category-dependent deformation model is proposed. In the deformation model, any deformation of a category is described by a linear combination of eigen-deformations, which are intrinsic deformation directions of the category. The eigen-deformations can be estimated statistically from the actual deformations of handwritten characters. Experimental results show that the EM present technique can attain higher recognition rates than conventional EM techniques based on category-independent deformation models. The results also show the superiority of the present technique over those conventional EM techniques in computational efficiency. |
| Starting Page | 49 |
| Ending Page | 54 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Volume Number | 102 |
| Alternate Webpage(s) | http://human.ait.kyushu-u.ac.jp/publications/prmu8.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
