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

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)
language:
Short-container-title:

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

Reference20 articles.

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

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Hand Gesture Classification for Individuals with Disabilities Using the DenseNet121 Model;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21

3. Classifying Hand Gestures for People with Disabilities Utilizing the MobileNetV2 Model;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

4. Gaussian noise image recognition based on convolutional neural networks;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19