Name
Title | ||
|---|---|---|
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition. |
Abstract | ||
|---|---|---|
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences. In this paper, we exploit the outstanding capability of path signature to translate online pen-tip trajectories into informative signature feature maps, successfully capturing the analytic and geometric properties of p... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2732978 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Text recognition,Hidden Markov models,Trajectory,Semantics,Context modeling,Robustness,Feature extraction | Journal | 40 |
Issue | ISSN | Citations |
8 | 0162-8828 | 12 |
PageRank | References | Authors |
0.68 | 37 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| zecheng xie | 1 | 96 | 7.55 |
| Zenghui Sun | 2 | 37 | 2.17 |
| Lianwen Jin | 3 | 1337 | 113.14 |
| Hao Ni | 4 | 21 | 3.25 |
| Joseph B. Lyons | 5 | 81 | 18.45 |