Arabic Text Recognition System
نویسندگان
چکیده
This paper describes a system for the recognition of Arabic text in document images. The system is designed to perform well on low resolution and low quality document images. On a set of 138 page images digitized at 200x200 dpi the system achieved a 93% correct character recognition rate. On the same pages digitized at 100x200 dpi, the system achieved an 89% character recognition rate. The systems processes a typical page with simple layout and 45 lines of text in 90 seconds on a 400 Mhz Pentium II running Linux.
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