Novel Arabic OCR Degraded Text Retrieval Model
نویسندگان
چکیده
This paper provides a novel model enhances the Arabic OCR degraded text retrieval effectiveness. The model simulates the Arabic OCR recognition mistakes happens while the recognition process based on word based approach. Then using the expected OCR errors the model expands the user search query. The resulting expanded search query produced higher precision and recall in searching Arabic OCRDegraded text rather than the original query. The new model showed a significant increase in the retrieval effectiveness over the previous models. The retrieval effectiveness of the new model is %97, while the best effectiveness published for word based approach was %84 and the best effectiveness for character based approach was %56. In addition, the new model overcomes several limitations of the current two existing models.
منابع مشابه
An Enhanced Arabic OCR Degraded Text Retrieval Model
This paper provides a new model enhancing the Arabic OCR degraded text retrieval effectiveness. The proposed model based on simulating the Arabic OCR recognition mistakes on a word based approach. Then the model expands the user search query using the expected OCR errors. The resulting expanded search query gives higher precision and recall in searching Arabic OCR-Degraded text rather than the ...
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