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Sign Language Recognition and Classification Model to Enhance Quality of Disabled People

Fadwa Alrowais1, Saud S. Alotaibi2, Sami Dhahbi3,4, Radwa Marzouk5, Abdullah Mohamed6, Anwer Mustafa Hilal7,*

1 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
2 Department of Information Systems, College of Computing and Information System, Umm Al-Qura University, Saudi Arabia
3 Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia
4 University of Tunis EL Manar, Higher Institute of Computer, Research Team on Intelligent Systems in Imaging and Artificial Vision (Siiva)–Lab Limtic, Aryanah, 2036, Tunisia
5 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
6 Research Centre, Future University in Egypt, New Cairo, 11745, Egypt
7 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia

* Corresponding Author: Anwer Mustafa Hilal. Email: email

TSP_CMC_29438.pdf

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