A Word & Character N-Gram based Arabic OCR Error Simulation model
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 12, Issue 8
Abstract
This paper provides a new model aimed to enhanceArabic OCR degraded text retrieval effectiveness. The proposed model based onsimulating the Arabic OCR recognition mistakesbased on both, word based and Character N-Gram approaches. Then we expand the user search query using the expected OCR errors. The resulting search query expanded gives high precision and recall values in searching Arabic OCR-Degraded text rather than the original query. The proposed model showed a significant increase in the degraded text retrieval effectiveness over the previous models. The retrieval effectiveness of the newmodel is %93, while the best effectiveness published for word based approach was %84 and the best effectiveness for character based approach was %56.
Authors and Affiliations
Mostafa Ezzat, Tarek Ahmed ElGhazaly, Mervat Gheith
Keywords
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- EP ID EP650450
- DOI 10.24297/ijct.v12i8.2999
- Views 85
- Downloads 0
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