Name
Abstract | ||
|---|---|---|
Recognizing characters in Chinese seal images is important when researching ancient cultural artworks because the seals may contain critical historical information. However, owing to large intraclass variance and a limited number of training samples, recognizing such characters in Chinese seals is challenging. Thus, this study proposes a graph-matching-based method to recognize characters in historical Chinese seal images. In the proposed method, a Chinese seal character is first modeled as a graph representing its underlying geometric structure. Then, two affinity matrices that measure the similarity of nodes and edge pairs are calculated with their local features. Finally, a correspondence matrix is calculated using a graph matching algorithm and the most similar reference is selected as the recognition result. Compared with several existing classification methods for seal image recognition, the proposed graph-matching-based method achieves better results, particularly in the case of limited samples. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11432-018-9724-7 | Science China Information Sciences |
Keywords | DocType | Volume |
graph model, Chinese seal, character recognition, graph matching | Journal | 62 |
Issue | ISSN | Citations |
9 | 1674-733X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Sun | 1 | 3 | 1.41 |
| Shaojun Hua | 2 | 0 | 0.34 |
| Shutao Li | 3 | 191 | 16.15 |
| Jun Sun | 4 | 328 | 52.57 |