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Spatial and Textural Aspects for Arabic Handwritten Characters Recognition
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 ...
Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language
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
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
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 ...
Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
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 ...
Disconnected Handwritten Numeral Image Recognition
(IEEE, Los Alamitos, CA, United States, 1997)
Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text ...
Recognition of handwritten digits by image processing methods and classification models
(Corporación Universidad de la Costa, 2020)