A Preliminary Study of Cashless Payment Face Recognition System Development in Malaysia
Author:
Affiliation:
1. University Malaysia of Computer Science & Engineering (UNIMY) Cyberjaya,Academic Affair,Selangor,Malaysia
2. Albukhary International University,School of Computing and Informatics,Alor Setar,Kedah,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9721625/9721626/09721723.pdf?arnumber=9721723
Reference20 articles.
1. Identification and Recognition of Text and Face Using Image Processing for Visually Impaired;safiya naaz;Proceedings of the International Conference on Recent Advances in Computational Techniques (IC-RACT),2020
2. Cashless payment and economic growth
3. A real-time face recognition system based on the improved LBPH algorithm
4. On certain integrals of Lipschitz-Hankel type involving products of bessel functions
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1. RNet-SGDG: An Improved Anti-Spoofing Time Efficient Framework for Face Recognition Using Deep Learning;2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2022-11-04
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