Name
Abstract | ||
|---|---|---|
Handwritten Text Recognition (HTR) is a difficult problem because of the diversity of calligraphic styles. To enhance the accuracy of HTR systems, a large amount of training data is required. The previous methods aim at generating handwritten images from input strings via RNN models such as LSTM or GRU. However, these methods require a predefined alphabet corresponding to a given language. Thus, t... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MAPR53640.2021.9585285 | 2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR) |
Keywords | DocType | ISBN |
Handwritten text generation,Image2Image Translation | Conference | 978-1-6654-1910-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manh-Khanh Ngo Huu | 1 | 0 | 0.68 |
| Sy-Tuyen Ho | 2 | 0 | 0.34 |
| Vinh-Tiep Nguyen | 3 | 25 | 22.31 |
| Thanh Duc Ngo | 4 | 82 | 22.24 |