Word Based Off-line Handwritten Arabic Classification and Recognition: Design of Automatic Recognition System for offline Handwritten Arabic Words Using Machine Learning - Couverture souple

AlKhateeb, Jawad

 
9783845400266: Word Based Off-line Handwritten Arabic Classification and Recognition: Design of Automatic Recognition System for offline Handwritten Arabic Words Using Machine Learning

Synopsis

The Arabic script evolved from the Nabataean Aramaic script. It has been used since the 4th century AD, but the earliest document, an inscription in Arabic, Syriac and Greek, dates from 512 AD. The Aramaic language has fewer consonants than Arabic, so during the 7th century new Arabic letters were created by adding dots to existing letters in order to avoid ambiguities. Further diacritics indicating short vowels were introduced, but are only generally used to ensure the Qur'an was read aloud without mistakes.

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Présentation de l'éditeur

The Arabic script evolved from the Nabataean Aramaic script. It has been used since the 4th century AD, but the earliest document, an inscription in Arabic, Syriac and Greek, dates from 512 AD. The Aramaic language has fewer consonants than Arabic, so during the 7th century new Arabic letters were created by adding dots to existing letters in order to avoid ambiguities. Further diacritics indicating short vowels were introduced, but are only generally used to ensure the Qur'an was read aloud without mistakes.

Biographie de l'auteur

Jawad Hasan AlKhateeb received B.Sc degree from Louisiana Tech University, USA, in 1991, M.Sc degree from Louisiana Tech University,USA, in 1992, and PhD from the University of Bradford, UK, in 2010. He is currently an Assistant Professor in Multimedia Systems at the Faculty of Science and Information Technology in AlZaytoonah Univeristy of Jordan

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