Name
Title | ||
|---|---|---|
A mixture model using Random Rotation Bounding Box to detect table region in document image. |
Abstract | ||
|---|---|---|
•A robust system for detecting table regions in the document image is presented.•The ruling line and non-ruling line table regions are detected by two scanning processes.•The Random Rotation Bounding Box is proposed for describing the table region.•Our method is tested on three datasets: ICDAR2013 table competition, UNLV, and Diotek. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jvcir.2016.05.023 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Table detection,Random Rotation Bounding Box,Page segmentation,Document layout analysis,OCR | Data mining,Pattern recognition,Computer science,Document layout analysis,Document layout,Artificial intelligence,Mixture model,Minimum bounding box | Journal |
Volume | Issue | ISSN |
39 | C | 1047-3203 |
Citations | PageRank | References |
5 | 0.43 | 26 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tuan Anh Tran | 1 | 28 | 3.22 |
| Hong Tai Tran | 2 | 5 | 0.43 |
| In Seop Na | 3 | 42 | 13.83 |
| Gueesang Lee | 4 | 208 | 52.71 |
| Hyung Jeong Yang | 5 | 37 | 4.76 |
| Soo Hyung Kim | 6 | 29 | 6.39 |