Name
Abstract | ||
|---|---|---|
Handwriting synthesis is the automatic generation of data that resemble natural handwriting. Although handwriting synthesis has recently gained increasing interest, the area still lacks a stand-alone review. This paper provides classifications for the different aspects of handwriting synthesis. It presents the applications, techniques, and evaluation methods for handwriting synthesis based on the several aspects that we identify. Then, it discusses various synthesis techniques. To the best of our knowledge, this paper is the only stand-alone survey on this topic, and we believe it can serve as a useful reference for the researchers in the field of handwriting synthesis. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s10032-014-0231-x | International Journal on Document Analysis and Recognition |
Keywords | Field | DocType |
Text Line, Glyph, Forgery Detection, Concatenation Technique, Offline Data | Glyph,Handwriting,Computer science,Speech recognition,Natural language processing,Forgery detection,Artificial intelligence | Journal |
Volume | Issue | ISSN |
17 | 4 | 1433-2825 |
Citations | PageRank | References |
5 | 0.45 | 47 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yousef Elarian | 1 | 22 | 1.49 |
| Radwan Abdel-Aal | 2 | 5 | 0.45 |
| Irfan Ahmad | 3 | 123 | 10.13 |
| Mohammad Tanvir Parvez | 4 | 169 | 9.19 |
| Abdelmalek Zidouri | 5 | 5 | 0.45 |