Authors

A. Mahammed Saquib

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

T. Reshma

Assistant Professor, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

G. Satheesh Reddy

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

D. Sanjeeva Kumar

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

G. Shamiya Taj

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

K. Sasi Vardhan Reddy

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Abstract

Nowadays Educational institutions are concerned about regularity of student attendance. This is mainly due to students’ overall academic performance is affected by his or her attendance in the Institute. Mainly there are two conventional methods of marking attendance which are calling out the roll call or by taking student sign on paper. They both were more time consuming and difficult. Hence, there is a requirement of computer-based student attendance management system which will assist the faculty for maintaining attendance record automatically.

In this project we have implemented the automated attendance system using Deep . We have projected our ideas to implement “Automated Attendance System Based on Facial Recognition”, in which it imbibes large applications. The application includes face identification, which saves time and eliminates chances of proxy attendance because of the face authorization. Hence, this system can be implemented in a field where attendance plays an important role.

The system is designed using deep python platform. The proposed system uses Principal Component Analysis (PCA), OpenCv, Harcascade algorithm which is based on eigenface approach. This algorithm compares the test image and training image and determines students who are present and absent. The attendance record is maintained in an excel sheet which is updated automatically in the system. 

Keywords

Face recognition Attendance system Eigen faces

Citation of this Article

A. Mahammed Saquib, T. Reshma , G. Satheesh Reddy, D. Sanjeeva Kumar, G. Shamiya Taj, & K. Sasi Vardhan Reddy. (2025). Face Recognition Based Attendance System Using Deep Learning. International Current Journal of Engineering and Science - ICJES, 4(4), 1-6. Article DOI: https://doi.org/10.47001/ICJES/2025.404001

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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