Abstract
Pre-processing of scanned documents is a necessary first step in the process cycle of any document processing application. While pre-processing methods are generally language independent, the effectiveness of downstream OCR processes can often be improved by language/script specific adaptations, particularly in the case of non-Latin scripts such as Arabic and Indic scripts. In this chapter, we present some techniques that have proven effective for the pre-processing of handwritten Arabic documents.
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Acknowledgements
Part of this material is based upon work supported by the Defense Advanced Research Projects Agency DARPA/IPTO (PLATO: A System for Taming MADCAT: Multilingual Automatic Document Classification Analysis and Translation) ARPA Order No. X103 Program Code No. 7M30 issued through a subcontract from BBN Technologies Corp. under DARPA/CMO Contract # HR0011-08-C-0004.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Defense Advanced Research Projects Agency or the U.S. Government.
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Shi, Z., Setlur, S., Govindaraju, V. (2012). Pre-processing Issues in Arabic OCR. In: Märgner, V., El Abed, H. (eds) Guide to OCR for Arabic Scripts. Springer, London. https://doi.org/10.1007/978-1-4471-4072-6_4
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DOI: https://doi.org/10.1007/978-1-4471-4072-6_4
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