Name
Abstract | ||
|---|---|---|
In todaypsilas world, form processing systems must be able to recognize mutant forms that appear to be based on differing templates but are actually only a variation of the original. A single definition of a representative template actually covers large varieties of the same logical templates. We developed a method and system, similar to the human visual system, which differentiates between templates via features such as logos, dominant words, and geometrical shapes, while ignoring minor details and variations. When the system finds an appropriate template, it then decodes the content of the form. Our approach has been applied in several scenarios with encouraging results. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICDAR.2009.121 | Barcelona |
Keywords | Field | DocType |
document handling,pattern recognition,form processing system,human visual system,logical template,representative template,form processing,template recognition | Computer vision,Pattern recognition,Of the form,Image matching,Human visual system model,Computer science,Robustness (computer science),Artificial intelligence,Template,Document handling,Decodes,Form processing | Conference |
ISSN | ISBN | Citations |
1520-5363 E-ISBN : 978-0-7695-3725-2 | 978-0-7695-3725-2 | 3 |
PageRank | References | Authors |
0.37 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaakov Navon | 1 | 3 | 0.37 |
| Ella Barkan | 2 | 15 | 5.15 |
| Boaz Ophir | 3 | 115 | 5.77 |