Improved Facial Biometric Authentication Using MobileNetV2-Reference-Cited by-同舟云学术

Improved Facial Biometric Authentication Using MobileNetV2

Published:2023-04-28 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
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Author:

Kaur Veerpal¹,Kumar Prashant¹,Kaur Gagandeep²,Kaur Amandeep³

Affiliation:

1. School of Computer Science and Engineering, Lovely Professional University,Punjab,India

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

3. School of Computing University of the Fraser,Valley Abbotsford,BC,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10183385/10182405/10183500.pdf?arnumber=10183500

Reference39 articles.

1. A comparative study on facial expression recognition using local binary patterns, convolutional neural network and frequency neural network

2. Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities

3. A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

4. An Elucidation for Machine Learning Algorithms Used in Healthcare

5. Hybrid Deep Learning Approach For Face Spoofing Detection;shipla;Proceedings of the International Conference on Intelligent Computing and Control Systems (ICICCS),0

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