Submit your paper : editorIJETjournal@gmail.com Paper Title : FACE RECOGNITION BASED ATTENDANCE SYSTEM ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.6621380 MLA Style: - Mohammed Danish Uddin, P. Durga Bala Reddy, Mr. Bhargav K, FACE RECOGNITION BASED ATTENDANCE SYSTEM , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: - Mohammed Danish Uddin, P. Durga Bala Reddy, Mr. Bhargav K, FACE RECOGNITION BASED ATTENDANCE SYSTEM , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract Automatic face recognition (AFR) technologies have made many improvements within the changing world. Smart Attendance using Real-Time Face Recognition may be a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system may be a process of recognizing the scholars face for taking attendance by using face biometrics supported high-definition monitor video and other information technology. during this face recognition project, a ADP system are ready to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques are developed for improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images, so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically. Index Terms - face recognition, machine learning Classifiers, attendance system Reference 1. Smart Attendance Monitoring System (SAMS): A Face Recognition based Attendance System for Classroom Environment. 2018 IEEE 18th International Conference on Advanced Learning Technologies. 2. A. Kassem , M. Hamad , Z. Chalhoub, and S. EI Dahdaah, An RFID Attendance and Monitoring System forUniversity Applications. 3. Hemantkumar Rathod, Yudhisthir Ware, Snehal Sane, Suresh Raulo, Vishal Pakhare and Imdad A. Rizvi. Automated Attendance System using Machine Learning Approach. 2017 International Conference on Nascent Technologies in the Engineering Field (ICNTE2017) 4. Poornima S1, Sripriya N2, Vijayalakshmi B3,Vishnupriya P4 Attendance Monitoring System using Facial Recognition with Audio Output and Gender Classification. IEEE International Conference on Computer, Communication, and Signal Processing (ICCCSP-2017) 5. Rishi Raj, 2Abhinav Das, 3Subhash Chand Gupta . Proposal of an Efficient Approach to Attendance Monitoring System using Bluetooth 6. Rashid. R.A., Mahalin, N.H., Sarijari, M.A., and Abdul Aziz, A.A. “Security system using biometric technology: Design and implementation of voice recognition system (VRS)”, International Conference on Computer and Communication Engineering, 2008, pp.898- 902. 7. T.Lim,S.Lim and M.Mansor, “RFID based Attendance System”, IEEE Symposium on Industrial Electronics and Applications, Oct2009,vol 2,pp.778-782. 8. Jun Iio, “Attendance Management System using a Mobile Device and a Web Application”, 2016 19th International Conference on NetworkBased Information Systems, vol 4. No.12, May 2016. 9. Nazare Kanchan Jayant, Surekha Borra, “Attendance Management System Using Hybrid Face Recognition Techniques”, Conference on Advances in Signal Processing (CASP). Jun9- 11, 2016. 10. Matthew Turk and Alex Pentland. Eigenfaces forRecognition. Vision and modelling Group the media laboratory. Massachusetts Institute of Technology. Keywords - FACE RECOGNITION BASED ATTENDANCE SYSTEM |