An enhanced Arabic OCR degraded text retrieval model

Abstract

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 original query. The proposed new model showed a significant increase in the degraded text 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. © Springer-Verlag 2013.