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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 8, AUGUST 2022

A Machine Learning Inspired Attendance Management System through Face Recognition

Deepak Kumar Verma, Jitendra K Srivastava, Rahul Singh, Raman Tiwari

DOI: 10.17148/IJARCCE.2022.11804

Abstract: Traditional attendance systems using pen and paper are time consuming, so in modern world new attendance systems are introduced which are fast and also accurate. One of such attendance systems is using Face Recognition. Currently there are two types of Face Recognition viz Using manual method and Automatic method. We have created manual method for increasing accuracy. In this Attendance System the student will be registered first then he can use the system to mark his attendance. The whole system has been created using python only using Premade module OPEN CV which is a very powerful image processing module based on machine learning algorithm.

Keywords: Machine Learning, Face Recognition, Attendance System.

How to Cite:

[1] Deepak Kumar Verma, Jitendra K Srivastava, Rahul Singh, Raman Tiwari, “A Machine Learning Inspired Attendance Management System through Face Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11804