Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN-Reference-Cited by-同舟云学术

Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN

Published:2023 Issue: Volume: Page:263-276
ISSN:2730-6437
Container-title:Proceedings of International Conference on Information and Communication Technology for Development
language:
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Author:

Al Rafi Abdullah,Hassan Rakibul,Rabiul Islam Md.,Nahiduzzaman Md.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7528-8_21

Reference18 articles.

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2. Begum S, Hasanuzzaman Md (2009) Computer vision-based Bangladeshi sign language recognition system. In: 2009 12th international conference on computers and information technology. http://doi.org/10.1109/iccit.2009.5407274

3. Deb K, Khan MI, Mony HP, Chowdhury S (2012) Two-handed sign language recognition for bangla character using normalized cross correlation. Glob J Comput Sci Technol 12

4. Yasir F, Prasad PWC, Alsadoon A, Elchouemi A (2015) SIFT based approach on Bangla sign language recognition. In: 2015 IEEE 8th international workshop on computational intelligence and applications (IWCIA). http://doi.org/10.1109/iwcia.2015.7449458

5. Uddin MA, Chowdhury SA (2016) Hand sign language recognition for Bangla alphabet using support vector machine. In: 2016 international conference on innovations in science, engineering and technology (ICISET). http://doi.org/10.1109/iciset.2016.7856479

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