Artificial Intelligence based Multi-Face Recognition and Attendance Marking System-Reference-Cited by-同舟云学术

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Artificial Intelligence based Multi-Face Recognition and Attendance Marking System

Published:2024-07-03 Issue: Volume:45 Page:47-51
ISSN:
Container-title:2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN)
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Author:

Srikanth J¹,Reddy R Kalpitha¹,Reddy P Jayachandra¹,Rahul Konda¹,Bharath Chitram¹

Affiliation:

1. Vignan Institute of Technology and Science(A),Dept of IT,Hyderabad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660666/10660641/10660941.pdf?arnumber=10660941

Reference15 articles.

1. Efficiency of Multi-Face Recognition Systems in High-Density Crowds;Anderson;IEEE Transactions on Pattern Analysis and Machine Intelligence,2023

2. Implementing AI in Attendance Management: A Case Study;Patel;IEEE Access,2023

3. Privacy-Preserving Facial Recognition: A Comprehensive Review;Lee;IEEE Security & Privacy,2023

4. Advancements in Real-Time Facial Recognition Algorithms;Kim;IEEE Journal of Selected Topics in Signal Processing,2023

5. Challenges and Solutions in Multi-Face Detection for Attendance Systems;Roberts

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