Deep Learning Approach for Sign Language Recognition Using DenseNet201 with Transfer Learning

Author:

Altaf Yasir1,Wahid Abdul2,Kirmani Mudasir Manzoor3

Affiliation:

1. Maulana Azad National Urdu University,Department of Computer Science,Hyderabad,India

2. Maulana Azad National Urdu University,Department of Computer Science and Infromation Technology,Hyderabad,India

3. FoFy SKUAST-K,Division of Social Science,Department of Computer Science,Srinagar,India

Publisher

IEEE

Cited by 9 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

1. Development and Evaluation of Pre-trained Deep Learning Models for Efficient Arabic Sign Language Recognition;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Sign Language Recognition using Transfer Learning;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

3. Evaluation of Classification Performance of New Layered Convolutional Neural Network Architecture on Offline Handwritten Signature Images;Symmetry;2024-05-23

4. Gesture Recognition in Indian Sign Language Using Deep Learning Approach;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

5. Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories;European Food Research and Technology;2024-04-15

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