Listar por tema "handwritten character recognition"
Mostrando ítems 1-5 de 5
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Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)Inspired from human perception and common text documents characteristics based on readability constraints, an Arabic text line segmentation approach is proposed using seam carving. Taking the gray scale of the image as ... -
Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on which ... -
Multi-agent Systems for Arabic Handwriting Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)This paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized ... -
Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater ... -
Spatial and Textural Aspects for Arabic Handwritten Characters Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)The purpose of the present paper is the recognition of handwritten Arabic characters in their isolated form. The specificity of Arabic characters is taken into consideration, each of the proposed feature extraction method ...