Name
Abstract | ||
|---|---|---|
OCR error has been shown not to affect the average accuracy of text retrieval or text categorization.Recent studies however have indicated that information extraction is significantly degraded by OCR error. We experimented with information extraction software on two collections, one with OCR-ed documents and another with manually-corrected versions of the former. We discovered a significant reduction in accuracy on the OCR text versus the corrected text. The majority of errors were attributable to zoning problems rather than OCR classification errors. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11669487_31 | Document Analysis Systems |
Keywords | Field | DocType |
information extraction software,text retrieval,corrected text,ocr text,average accuracy,ocr-ed document,ocr classification error,text categorization,private information,ocr error,information extraction | Character recognition,Computer science,Document Structure Description,Optical character recognition,Image processing,Speech recognition,Software,Information extraction,Private information retrieval,Text retrieval | Conference |
Volume | ISSN | ISBN |
3872 | 0302-9743 | 3-540-32140-3 |
Citations | PageRank | References |
10 | 0.91 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazem Taghva | 1 | 350 | 43.51 |
| Russell Beckley | 2 | 39 | 4.38 |
| jeffrey coombs | 3 | 89 | 7.73 |