Zennaki, MahmoudSadouni, KaddourMamouni, El Mamoun2022-03-152022-03-152022-01-24Zennaki, Mahmoud. Sadouni, Kaddour. Mamouni, El Mamoun. Effective Recognition of Handwritten Arabic Text. Forum of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]http://dspace.univ-eloued.dz/handle/123456789/10739Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of ElouedThis paper presents an effective method for segmenting handwritten Arabic words based on projection histograms, as well as a comprehensive study of overlap letters, which represent a major problem in the recognition of Arabic script. The characters resulting from segmentation are recognized by an SVM classifier that was trained on a corpus of handwritten Arabic characters that also includes the main overlap letters identified in Arabic script. The proposed method was tested using the IFNenArabic text · handwritten · segmentation · projection histogram · support vector machinesOther