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International Conference on Advanced Information Networking and Applications

AINA 2021: Advanced Information Networking and Applications pp 285–296Cite as

Architecture for Real-Time Visualizing Arabic Words with Diacritics Using Augmented Reality for Visually Impaired People

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 225))

Abstract

The number of visually impaired people is continuously increasing around the world due to the aging of the population. Several methods of communication are needed as solutions to perform their daily activities as Arabic text which appear everywhere and contains several diacritical marks such as i’jām, consonant score and tashkil. Accordingly, several architectures have adopted different techniques to detect and recognize Arabic words without diacritics and few are capable of reading the Arabic word with diacritics. In this context, a new architecture based on Augmented Reality (AR) is proposed in order to detect and recognize Arabic letters with diacritical marks in real-time. The proposed architecture shows great potential for using AR engine to detect Arabic words with diacritics within orientation, writing style and complex background. In addition, it improves the visualization by reading the detected Arabic words with diacritics through a created dataset. Our work aims to improve the user’s experience and simplicity for partially sighted and visually impaired people.

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Author information

Authors and Affiliations

  1. REGIM-Lab: Research Groups in Intelligent Machines, National Engineering School of Sfax, University of Sfax, BP 1173, 3038, Sfax, Tunisia

    Imene Ouali, Mohamed Ben Halima & Ali Wali

  2. Digital Research Center of Sfax (CRNS), Laboratory of Signals, systeMs, aRtificial Intelligence and neTworkS (SM@RTS), Sfax, Tunisia

    Mohamed Saifeddine Hadj Sassi

Authors
  1. Imene Ouali
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  2. Mohamed Saifeddine Hadj Sassi
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  3. Mohamed Ben Halima
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  4. Ali Wali
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ouali, I., Hadj Sassi, M.S., Ben Halima, M., Wali, A. (2021). Architecture for Real-Time Visualizing Arabic Words with Diacritics Using Augmented Reality for Visually Impaired People. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_25

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