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KU–Database of Handwritten Arabic Words

A.M. Hafiz, Z. A. Bhat, M. Jan, M. U. Bhat, I. B. Sofi, I. A. Tantray, G. M. Bhat


In this paper a new database of handwritten Arabic words has been presented. The database consists of words taken from well-known Arabic proverbs. The ground truth information is also provided. 12 writers each filled 5 forms thrice, with every form containing a total of 84 words, with Part of Arabic Word (PAW) range distributed equally (for the words) ranging from 1 to 9. The database contains a total of 3024 word images, 14616 PAWs, and 30744 characters. It has been designed for training and testing recognition systems for handwritten Arabic words. The database offers novel features like even distribution of quantity of word images with respect to word length. The Kashmir University (KU) - database is available for the purpose of research. A portion of the database was tested using a Hidden Markov Model (HMM) based Optical Character Recognition Engine and benchmarking of some important features found in literature was done.


Arabic; Handwriting; Database; HMM; Arabic OCR;

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