HICMA: The Handwriting Identification for Calligraphy and Manuscripts in Arabic Dataset
Anis Ismail,
Zena Kamel,
Reem Mahmoud
Abstract:Arabic is one of the most globally spoken languages with more than 313 million speakers worldwide. Arabic handwriting is known for its cursive nature and the variety of writing styles used. Despite the increase in effort to digitize artistic and historical elements, no public dataset was released to deal with Arabic text recognition for realistic manuscripts and calligraphic text. We present the Handwriting Identification of Manuscripts and Calligraphy in Arabic (HICMA) dataset as the first publicly available … Show more
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