Introducing the Ultimate NOUN Dataset for Online Handwritten Alphabet Recognition

Author:

Belbachir Khadidja ElKobra1,Tlemsani Redouane1

Affiliation:

1. University of Science and Technology of Oran Mohamed-Boudiaf, Algeria

Abstract

For decades, researchers in the field of machine learning have been trying to raise the features of systems and develop methods and approaches, but they often suffer from a scarcity of data in various machine learning fields. For this and due to the urgent need in our research that we have developed in the field of online handwriting recognition, we had to create a special data set for the Arabic language characters written simultaneously on a graphical tablet. In this work, we created a data set called “Noon” in university neighbourhood laboratories and used its first version in research work that was published in international refereed journals. The construction details have gone through phases, which will be presented in the following sections in this chapter.

Publisher

IGI Global

Reference37 articles.

1. A large vocabulary system for Arabic online handwriting recognition

2. Ahmed, O. B. A. (2017). Two Stages Neuro-Fuzzy System for Isolated Arabic Handwritten Character Recognition [PhD Thesis, Sudan University of Science and Technology].

3. Amara, N. B., Belaïd, A., & Ellouze, N. (1998). Modélisation pseudo bidimensionnelle pour la reconnaissance de chaînes de caractères arabes imprimés. Conférence Internationale Francophone sur l’Écrit et les Documents, 131-140. https://members.loria.fr/ABelaid/publis/Cifed98.pdf

4. Temporal neural system applied to arabic online characters recognition.;K.Belbachir;The International Arab Journal of Information Technology,2019

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