Arabic Handwriting Data Base for Text Recognition
Jabril Ramdan, Khairuddin Omar, Mohammad Faidzul, Ali M.M. Mady · Procedia Technology · 2013
The process of assessing the outcomes obtained by various groups of researchers is heavily facilitated by conventional databases. This paper introduces, an database (AHDB/FTR) comprising Arabic Handwritten Text Images, which helps the researches associated with recognition of Arabic handwritten text with open vocabulary, word segmentation and writer identification and can be freely accessed by researchers worldwide. This database consists of four hundred and ninety seven images of Libyan cities, which were hand written by five Arabic scholars.