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Important New Developments in Arabographic Optical Character Recognition (OCR) (1703.09550v1)
Published 28 Mar 2017 in cs.CV and cs.DL
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.
- Maxim Romanov (3 papers)
- Matthew Thomas Miller (4 papers)
- Sarah Bowen Savant (1 paper)
- Benjamin Kiessling (3 papers)