A study on Arabic sign language recognition for differently abled using advanced machine learning classifiers

Author:

Mustafa Mohammed

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference85 articles.

1. Al-Jarrah O, Halawani A (2001) Recognition of gestures in Arabic sign language using neuro-fuzzy systems. Elsevier, Amsterdam, pp 117–138

2. Alzohairi R, Alghonaim R, Alshehri W, Aloqeely S, Alzaidan M, Bchir O (2018) Image-based Arabic sign language recognition system. Int J Adv Comput Sci Appl 9(3):185–194

3. Ameen S, Vadera S (2017) A convolutional neural network to classify American sign language fingerspelling from depth and color images. Wiley, Hoboken, pp 1–8

4. Arya K, Kudase J (2017) Convolutional neural networks based sign language recognition. Int J Innov Res Comput Commun Eng 5(10):15737–15743

5. Assaleh K, Al-Rousan M (2005) Recognition of Arabic sign language alphabet using polynomial classifiers. EURASIP J Appl Signal Process 2005(13):2136–2145

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