Effective Recognition of Handwritten Arabic Text
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Date
2022-01-24
Journal Title
Journal ISSN
Volume Title
Publisher
University of Eloued جامعة الوادي
Abstract
This 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 IFN/ENIT database and encouraging
results were obtained.
Description
Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued
Keywords
Arabic text · handwritten · segmentation · projection histogram · support vector machines
Citation
Zennaki, Mahmoud • Sadouni, Kaddour • Mamouni, El Mamoun. Effective Recognition of Handwritten Arabic Text. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]