SIFT-Based Arabic Sign Language Recognition System
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-13572-4_30
Reference19 articles.
1. Assaleh, K., Al-Rousan, M.: Recognition of arabic sign language alphabet using polynomial classifiers. EURASIP Journal on Applied Signal Processing 2005, 2136–2145 (2005)
2. Samir, A., Aboul-Ela, M.: Error detection and correction approach for arabic sign language recognition. In: 2012 Seventh International Conference on Computer Engineering & Systems (ICCES), pp. 117–123. IEEE (2012)
3. Tolba, M., Elons, A.: Recent developments in sign language recognition systems. In: 2013 8th International Conference on Computer Engineering & Systems (ICCES), pp. xxxvi–xlii. IEEE (2013)
4. El-Bendary, N., Zawbaa, H.M., Daoud, M.S., Nakamatsu, K., et al.: Arslat: Arabic sign language alphabets translator. In: 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM), pp. 590–595. IEEE (2010)
5. Tolba, M., Samir, A., Aboul-Ela, M.: Arabic sign language continuous sentences recognition using pcnn and graph matching. Neural Computing and Applications 23(3-4), 999–1010 (2013)
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