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international journal of computer techniques(ijct)

Paper Title : FACE RECOGNITION BASED ATTENDENCE SYSTEM USING DEEP LEARNING APPROACH

ISSN : 2394-2231
Year of Publication : 2021

10.29126/23942231/IJCT-v8i2p22
Authors: K.E.Eswari MCA., M.Phil., M.E, A.Mohanasundaram

         



MLA Style: K.E.Eswari MCA., M.Phil., M.E, A.Mohanasundaram "FACE RECOGNITION BASED ATTENDENCE SYSTEM USING DEEP LEARNING APPROACH " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: K.E.Eswari MCA., M.Phil., M.E, A.Mohanasundaram "FACE RECOGNITION BASED ATTENDENCE SYSTEM USING DEEP LEARNING APPROACH " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Attendance is a very important a part of daily classroom ascertainment for the teacher for his or her smooth running of sophistication. At the start and ending of the category, usually teacher check the attendance, but the manual attendance system may ends up in appear that an educator may miss someone or some students may answer multiple times. Now a days, Machine Learning has been highly explored for computer vision applications. So, we use the concept of machine learning in Face – recognition for automatic attendance systems. during this project, we perform the face recognition and face detection algorithms, to produce the pc systems the power of finding and recognizing human faces fast and precisely in images or videos in order that the systems can employed in giving attendance.

Reference
[1].Abdur Rahim, Najmul Hossain, Tanzillah Wahid, ShafiulAzam, “Face Recognition Using Local Binary Patterns” International Journal of Computer Science and Technology Graphics and Computer Vision, Volume 13, Issue 4, pp.817-823, 2013 [2].Tiwari PritiAnilkumar, KalyaniJha, Karishma P Uchil, Naveen H., "Haar Features Based FaceDetection and Recognition for AdvancedClassroom And Corporate Attendance", IJIRCCE,Vol. 3, Issue 5, May 2015. [3].A. M. Pati!,Dr. Satish R. Kolhe, Dr. Pradeep M. Pati!, "Face Recognition by PCA Technique",Second International Conference on Emerging Trends in Engineering & Technology( ICETET ) [4]. Venkata Kalyan Polamarasetty1, Muralidhar Reddy Reddem2, Dheeraj Ravi3, Mahith Sai Madala4” Attendance System based on Face Recognition” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072. 5. Dhanalakshmi, N.; Kumar, S.G.; Sai, Y.P. Aadhaar based biometric attendance system using wireless fingerprint terminals. In Proceedings of the 2017 IEEE 7th International Advance Computing Conference (IACC), Hyderabad, India, 5–7 January 2017; pp. 651–655. 6. Soewito, B.; Gaol, F.L.; Simanjuntak, E.; Gunawan, F.E. Smart mobile attendance system using voice recognition and fingerprint on smartphone. In Proceedings of the 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA), Lombok, Indonesia, 28–30 July 2016; pp. 175–180. [CrossRef] 7. Lukas, S.; Mitra, A.R.; Desanti, R.I.; Krisnadi, D. Student attendance system in classroom using face recognition technique. In Proceedings of the 2016 IEEE International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, 19–21 October 2016; pp. 1032–1035. [CrossRef] 8. Devan, P.A.M.; Venkateshan, M.; Vignesh, A.; Karthikraj, S. Smart attendance system using face recognition. Adv. Natural Appl. Sci. 2017, 11, 139– 145. 9. Rekha, E.; Ramaprasad, P. An efficient automated attendance management system based on Eigen Face recognition. In Proceedings of the 2017 IEEE 7th International Conference on Cloud Computing, Data Science & EngineeringConfluence, Noida, India, 12–13 January 2017; pp. 605–608. [CrossRef] 10. Sahani, M.; Subudhi, S.; Mohanty, M.N. Design of Face Recognition based Embedded Home Security System. KSII Trans. Internet Inf. Syst. 2016, 10. [CrossRef] 11. Ramkumar, M.; Sivaraman, R.; Veeramuthu, A. An efficient and fast IBR based security using face recognition algorithm. In Proceedings of the 2015 IEEE International Conference on Communications and Signal Processing (ICCSP), Melmaruvathur, India, 2–4 April 2015; pp. 1598–1602. [CrossRef] 12. Xu, W.; Shen, Y.; Bergmann, N.; Hu, W. Sensor-assisted multi-view face recognition system on smart glass. IEEE Trans. Mob. Comput. 2017, 17, 197–210. [CrossRef]

Keywords
————— Machine Learning, face recognition, assessment, face detection algorithm, LBPH,HAAR

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