Transform-based Arabic sign language recognition-Reference-Cited by-同舟云学术

Transform-based Arabic sign language recognition

Published:2017 Issue: Volume:117 Page:2-9
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Sidig Ala addin I.,Luqman Hamzah,Mahmoud Sabri A.

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. K. Al-Fityani and C. Padden, “Sign language geography in the Arab world,” Sign Lang. A Cambridge Surv., pp. 433–450, 2010.

2. “LAS: First part of the Unified Arabic Sign Dictionary,” Leag. Arab States Arab Leag. Educ. Cult. Sci. Organ. Tunis., 2000.

3. A. addin I. Sidig, H. Luqman, and S. A. Mahmoud, “Arabic Sign Language Recognition Using Optical Flow-Based Features and HMM,” in Recent Trends in Information and Communication Technology: Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017), F. Saeed, N. Gazem, S. Patnaik, A. S. Saed Balaid, and F. Mohammed, Eds. Cham: Springer International Publishing, pp. 297–305, 2018.

4. S. Semreen, M. Albinali, The rules of Arab Qatari sign standardized language, Supreme Council of Family Affairs, 2010.

5. M. F. Tolba and A. S. Elons, “Recent developments in sign language recognition systems,” in Computer Engineering & Systems (ICCES), 2013 8th International Conference on, pp. xxxvi--xlii, 2013.

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