Name
Abstract | ||
|---|---|---|
Rubber stamps often overlap with original text content of a document, and hence obscure the text regions very badly. Removal of these stamp regions becomes a necessity for successful conversion of such documents into electronic format. Stamp removal from a document becomes more difficult when they are in gray scale, or text and stamp are of the same color. In this paper, we propose a technique to remove such stamps from overlapped regions by identifying stamp regions and stamp pixels. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/DAS.2016.26 | 2016 12th IAPR Workshop on Document Analysis Systems (DAS) |
Keywords | Field | DocType |
gray rubber stamp removal,document text content,electronic document format,stamp pixels,grayscale images | Computer vision,Computer graphics (images),Computer science,Natural rubber,Pixel,Artificial intelligence,Grayscale | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumyadeep Dey | 1 | 12 | 3.00 |
| Jayanta Mukhopadhyay | 2 | 72 | 26.05 |
| Shamik Sural | 3 | 1008 | 96.36 |