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arXiv · 1703.09550

Important New Developments in Arabographic Optical Character Recognition (OCR)

Maxim Romanov·Matthew Thomas Miller·Sarah Bowen Savant·Benjamin Kiessling
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Abstract

The OpenITI team has achieved Optical Character Recognition (OCR) accuracy rates for classical Arabic-script texts in the high nineties. These numbers are based on our tests of seven different Arabic-script texts of varying quality and typefaces, totaling over 7,000 lines. These accuracy rates not only represent a distinct improvement over the actual accuracy rates of the various proprietary OCR options for classical Arabic-script texts, but, equally important, they are produced using an open-source OCR software, thus enabling us to make this Arabic-script OCR technology freely available to the broader Islamic, Persian, and Arabic Studies communities.

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Maxim Romanov, Matthew Thomas Miller, Sarah Bowen Savant, Benjamin Kiessling. 2017-03-28. Important New Developments in Arabographic Optical Character Recognition (OCR). https://arxiv.org/abs/1703.09550

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