Classification of Sign language Using VGG16 and VGG19-Reference-Cited by-同舟云学术

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Classification of Sign language Using VGG16 and VGG19

Published:2023-11-23 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
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Author:

Dabwan Basel A.¹,Olayah Fekry A.²,Halawani Hanan T³,Mashraqi Aisha M³,Abdelrahman Yahya A.³,Shamsan Ahlam F.⁴

Affiliation:

1. AlBaydha University,Department of Information System,AlBaydha,Yemen

2. Najran University,Department of Information System,Kingdom of Saudi Arabia

3. Najran University,Department of Computer Science College of Computer Science and Information Systems,Kingdom of Saudi Arabia

4. Najran University,Department of Information System Applied College,Najran,Kingdom of Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391284/10391096/10391673.pdf?arnumber=10391673

Reference20 articles.

1. A Comparative Study of Various Techniques Used in Current HGRSs

2. Reduction of gesture feature dimension for improving the hand gesture recognition performance of numerical sign language

3. Efficacy of Pretrained VGG-16 in Sign Language Recognition;al;IEEE Transactions on Image Processing,2020

4. Sign Language Gesture Classification Using VGG-19;Sharma;IEEE Transactions on Multimedia,2018

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