A comparison of automatic and manual zoning
| Autor: | Allen Condit, Kazem Taghva, Steven E. Lumos, Julie Borsack |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Information retrieval
Ranking Computer science Association (object-oriented programming) InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Pattern recognition (psychology) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computer Vision and Pattern Recognition Zoning Software Computer Science Applications |
| Zdroj: | International Journal on Document Analysis and Recognition. 6:230-235 |
| ISSN: | 1433-2825 1433-2833 |
| DOI: | 10.1007/s10032-003-0116-x |
| Popis: | In this paper, we study the effects of automatic zoning on retrieval and ranking variability. We will show that OCR-generated text from automatic zoning, followed by postprocessing, produces retrieval results equivalent to OCR-generated text from manual zoning. We further show that there is a strong linear association between the ranked query results obtained from these two methods of zoning. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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