Arabic Sign Language Recognition Using Optical Flow-Based Features and HMM-Reference-Cited by-同舟云学术

Arabic Sign Language Recognition Using Optical Flow-Based Features and HMM

Published:2017-05-27 Issue: Volume: Page:297-305
ISSN:2367-4512
Container-title:Recent Trends in Information and Communication Technology
language:
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Author:

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

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59427-9_32

Reference17 articles.

1. Tolba, M.F., Elons, A.S.: Recent developments in sign language recognition systems. In: 2013 8th International Conference on Computer Engineering and Systems (ICCES), pp. xxxvi–xlii. IEEE (2013)

2. Al-Fityani, K., Padden, C.: Sign language geography in the Arab world. In: Sign Languages: A Cambridge Survey, pp. 433–450 (2010)

3. LAS: First Part of the Unified Arabic Sign Dictionary. The League of Arab States & The Arab League Educational, Cultural and Scientific Organization, Tunisia (2000)

4. Wan, K., Adnan, N.H.B., Shahriman, A.B., Za’ba, S.K., Aziz, M.A.A., Yusof, Z.M.: Gesture recognition based on hand postures and trajectories by using dataglove: a fuzzy probability approach–a review (2012)

5. Nair, A.V., Bindu, V.: A review on Indian sign language recognition. Int. J. Comput. Appl. 73(22), 0975–8887 (2013)

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