Name
Abstract | ||
|---|---|---|
As an important step in text-based information extraction systems, scene text detection has become a popular subject of research in recent years. In this study, the authors present a novel approach to robustly detect texts which are variable in scales, colours, fonts, languages and orientations in scene images. To segment candidate text connected components (CCs) from images, both local contrast a... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1049/iet-cvi.2014.0297 | IET Computer Vision |
Keywords | Field | DocType |
image classification,image colour analysis,image segmentation,text detection | Text graph,Pattern recognition,Computer science,Information extraction,Connected component,Artificial intelligence,Classifier (linguistics),Hierarchical database model,Text detection | Journal |
Volume | Issue | ISSN |
9 | 4 | 1751-9632 |
Citations | PageRank | References |
2 | 0.35 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| gang zhou | 1 | 2 | 0.35 |
| Yuehu Liu | 2 | 181 | 41.53 |
| Liang Xu | 3 | 57 | 14.47 |
| Zhenhong Jia | 4 | 29 | 15.13 |