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Face Recognition Attendance System: A Review

Zubayer Bin Hasnat


The distinctiveness or individuality of an individual face is the representation of one’s identity. In this mission, face of a character is used for the reason of attendance making robotically. Attendance of the pupil could be very essential for each college and university. The conventional technique for taking attendance is through calling the name or roll variety of the scholar and the attendance is recorded. Time intake for this cause is an important point of the problem. Expect that the period for one concern is around 60 min or 1 h, and to file attendance takes 5 to 10 min. For every instruct, that is the consumption of time. To stay far away from these losses, an automatic system is used in this challenge which is based totally on image processing. In this undertaking, face detection and face popularity are used. Face detection is used to find the position of the face area and face reputation is used for marking the understudy’s attendance. The database of all the students in the class is saved and when the face of the character scholar fits one of the faces saved within the database then the attendance is recorded.

Keywords: Face recognition, biometric technique, RFID system, feasibility structure, economic feasibility

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Xin Geng, Zhi-Hua Zhou, & Smith-Miles, K. (2008). Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. IEEE Transactions on Neural Networks.

Winarno, Wiwien Hadikurniawati, Imam Husni Al Amin, Muji Sukur, Anti-Cheating

Presence System Based on 3WPCA Dual Vision Face Recognition, Faculty of Information Technology Universitas Stikubank Semarang Indonesia.

Prototype model for an Intelligent Attendance System based on facial Identification by Raj Malik, Praveen Kumar, Amit Verma, Seema Rawat, Amity University Uttar Pradesh.

Convolutional Neural Network Approach for Vision Based Student Recognition System, Nusrat Mubin Ara1, Dept. of CSE, SUST, Sylhet, Bangladesh.

NFC Based Mobile Attendance System with Facial Authorization on Raspberry Pi and Cloud Server Siti Ummi Masruroh Andrew Fiade Imelda Ristanti Julia.

Face recognition-based Attendance System using Machine Learning Algorithms, Radhika C. Damale, Department of Electronics and Telecommunications, Cummins College of engineering for Women, Pune, Maharashtra, India.

Class Attendance system based on Face Recognition" Priyanka Wagh.

Design of Classroom Attendance System Based on Face Recognition,WenxianZeng.

Automated Attendance System Using Face Recognition, Akshara Jadhav, Akshay Jadhav Tushar Ladhe, Krishna Yeolekar.

An Attendance Marking Systembased on Face Recognition" written by Khem Puthea, Rudy Hartanto and Risanuri Hidayat. Class Attendance Management System Using Face Recognition

,Omar Abdul Rhman Salim Department of Electrical and Computer Engineering, Faculty of Engineering International Islamic University Malaysia, Kuala Lumpur,Malaysia [email protected]

Face Recognition Based Attendance System Nandhini R, Duraimurugan N.

Student Attendance System in Classroom Using Face Recognition Technique, Samuel LukasAditya Rama Mitra, Ririn Ikana Desanti, Dion Krisnadi, Informatics Department,Computer System Department, Information System Department Universitas Pelita Harapan Karawaci, Indonesia.

Attendance System based on Face Recognition Venkata Kalyan Polamarasetty, Muralidhar Reddy Reddem, Dheeraj Ravi, Mahith Sai Madala.

Jing Bian, Wei Du, Research of Face Detection System Based on Skin-Tone Feature, 978-1-61284-722-1/11/$26.00 ©2011 IEEE.

Visar Shehu, Agni Dika, Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems ITI 2010 32nd Int. Conf. on Information Technology Interfaces, June 21-24, 2010, Cavtat, Croatia.



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