An Electronic and Web-Based Authentication, Identification, and Logging Management System
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Abstract
The need for participants’ performance assessments in academia and industry has been a growing concern. It has attendance, among other metrics, is a key factor in engendering a holistic approach to decision-making. For institutions or organizations where managing people is an important yet challenging task, attendance tracking and management could be employed to improve this seemingly time-consuming process while keeping an accurate attendance record. The manual/quasi-analog approach of taking attendance in some institutions could be unreliable and inefficient, leading to inaccurate computation of attendance rates and data loss. This work, therefore, proposes a system that employs embedded technology and a biometric/ web-based application to enhance attendance management. The hardware encompasses the integration of an ESP8266 NodeMCU and the biometric AS608 fingerprint sensor interfaced with the database for which the front-end and back-end integration was through the React framework. The system uses a web application that displays the attendance results and scheduled course data from its database, provides feedback to lecturers on which student missed classes and calculates a student’s average attendance for the semester. By implementing this system, the accuracy of student attendance is expected to experience an appreciable improvement, eliminate proxy signing, provide a more secure alternative for attendance recording, curtail tardiness to classes, and ultimately improve student productivity on execution.
Article received: 01/07/2023
Article accepted: 30/12/2023
Article published: 01/01/2024
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Abbood, A.A., Sulong, G., and Peters, S.U., 2014. A review of fingerprint image pre-processing. Journal Teknologi, 69(2), pp. 79–84. Doi:10.11113/jt.v69.3111.
Ajiroghene, O.S., Ekoko, E.C., Abuh, A., Ibhaze, A.E., and Orukpe, P.E., 2020. A dual channel home automation and security system using finite state machine. Journal of Computer Science and Control Systems, 13(2), pp. 5–10.
Alexander, G., 2021. What is biometrics? https://www.techtarget.com/searchsecurity/definition/biometrics.
Amor, B.Y., Dowden, J., Borh, J.K., Castro, E., and Goel, N., 2020. The chronic absenteeism assessment project: Using biometrics to evaluate the magnitude of and reasons for chronic absenteeism in rural India. International Journal of Educational Development, 72, P. 102140. Doi:10.1016/j.ijedudev.2019.102140
BalaMurali, A., Sravanthi, P.S., and Rupa, B., 2020. Smart and secure voting machine using biometrics. In 2020 Fourth International Conference on Inventive Systems and Control (ICISC) (pp. 127-132). IEEE. Doi:10.1109/ICISC47916.2020.9171135
Benyo, B., Sodor, B., Doktor, T., and Fördős, G., 2012. Student attendance monitoring at the university using NFC. In Wireless Telecommunications Symposium, April 2012 (pp. 1-5). IEEE. Doi:10.1109/WTS.2012.6266137
Cao L., and Wang, Y., 2016. Fingerprint image enhancement and minutiae extraction algorithm. MSc. Thesis at Linnaeus University Sweden. https://www.diva-portal.org/smash/get/diva2:1105720/FULLTEXT01.pdf.
Chennattu, S., Kelkar, A., Anthony, A., and Nagdeote, S., 2019. Portable biometric attendance system using IoT. In 2019 4th International Conference on Information Systems and Computer Networks (ISCON), November, (pp. 245-249). IEEE. Doi:10.1109/ISCON47742.2019.9036275
Dastidar, U.G., Jogi, N., Bansod, M., Madamwar, P., and Jalan, P., 2017. Fingerprint sensor based attendance system using atmega 328 and ESP8266. International Journal of Research In Science & Engineering, 3(2), pp. 471-475.
Esttaifan, B.A., 2023. A modified Vigenère Cipher based on time and Biometrics features. Journal of Engineering, 29(6), pp. 128–139. Doi:10.31026/j.eng.2023.06.10
Fadhil, H.M., Younis, M.I., Alsewari, A.A., Abd-Alrazzaq, M., Mahdi, A.T., and Alomoush, A.A., 2020. An open cloud-based platform for the creation and delivery of smart applications and services. The 6th International Conference on Software Engineering & Computer Systems, pp. 1–13. Doi:10.1088/1757-899X/769/1/012067
Galbally, J., Alonso-Fernandez, F., Fierrez, J., Ortega-Garcia, J., 2012. A high performance fingerprint liveness detection method based on quality related features. Future Generation Computer Systems. 28, pp. 311–321. Doi:10.1016/j.future.2010.11.024
Ibhaze, A.E., Akpabio, M.U., and Atayero, A.A.A., 2018. Smart meter solution for developing and emerging economies. International Journal of Automation and Smart Technology, 8(3), pp. 119 – 126. Doi:10.5875/ausmt.v8i3.1529
Ibhaze, A.E., Eleanor, E.C., and Idachaba, F.E., 2016. E-health monitoring system for the aged. IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech). Doi: 10.1109/EmergiTech.2016.7737355
Ibhaze, A.E., Okakwu, I.K., Akinrelere, A.T., and Imoize A.L., 2019. An intelligent dispatch system operating in a partially closed environment. Network and Communication Technologies, 4(1), pp. 26 – 35. Doi:10.5539/nct.v4n1p26
Ibhaze, A.E., Orukpe, P.E., and Edeko, F.O., 2020. High capacity data rate system: review of visible light communications technology. Journal of Electronic Science and Technology, 18(3), P. 100055. Doi:10.1016/j.jnlest.2020.100055
Idachaba, F.E., and Ibhaze, A.E., 2016. Development of a real time road accident location and emergency alert system. International Journal of Applied Engineering Research, 11(23), pp. 11110 – 11113.
Idachaba, F.E., Olowoleni, J.O., Ibhaze A.E., and Oni, O.O., 2017. IoT enabled real-time fishpond management system. Proceedings of the World Congress on Engineering and Computer Science, 1, pp. 1 – 5.
Jayakumar, K., Surendar, V., Sheela, a., Javagar, P., Riyas, K., and Dhanush, K., 2022. Internet of Things based Biometric smart attendance system. International Conference on Sustainable Computing and Data Communication Systems. pp. 1492-1497. Doi:10.1109/ICSCDS53736.2022.9761045
Joodi, M.A., Saleh, M.H., and Kadhim, D.J., 2023. Proposed face detection classification model based on Amazon Web Services cloud (AWS). Journal of Engineering, 29(4), pp. 176 – 206. Doi:10.31026/j.eng.2023.04.12
Keerthi, Y., Sneha, A., Manasa, P.V. and Neelima, N., 2022. Enhanced Biometric Attendance Management System using IoT & Cloud. In 2022 International Conference on Electronics and Renewable Systems (ICEARS), March, (pp. 1-7). IEEE. Doi:10.1109/ICEARS53579.2022.9751960
Kizza, J.M., 2023. Biometric technologies and ethics. In Ethical and Social Issues in the Information Age. (pp. 365-378). Cham: Springer International Publishing. Doi:10.1007/978-3-031-24863-4_19
Lin, H., Jain, A.K., Pankanti, S., and Bolle, R., 1997. An identity-authentication system using fingerprints. Proceedings of the IEEE, 85(9), pp. 1365 – 1388. Doi:10.1109/5.628674.
Mahmood, B.M.R., Younis, M.I., and Ali, H.M., 2013. Construction of a general-purpose infrastructure for Rfid – Based applications. Journal of Engineering, 11(19), pp. 1425–1442. Doi:10.31026/j.eng.2013.11.06
Miguel, G., 2018. How Fingerprint Scanners Work: Optical vs Capacitive Scanners. https://www.arrow.com/en/research-and-events/articles/how-fingerprint-sensors-work.
Mishra, A., Kamble, R., Pare, V., and Sahu, R., 2020. Multimodal Biometric Attendance System. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC), April 2020. Doi:10.2139/ssrn.3568531
Mohamed, B.K., and Raghu, C.V., 2012. Fingerprint attendance system for classroom needs. In 2012 Annual IEEE India Conference (INDICON), December, (pp. 433-438). IEEE. Doi:10.1109/INDCON.2012.6420657
Mohammed, A., Mohammed, A., Mohammed, O., and Amin, E., 2015. Fingerprint attendance system for educational institutes. Journal of Science and Technology, 20(1), pp. 34-44. Doi:10.20428/JST.20.1.4
OKTA, 2023. Fingerprint Biometrics: Definition & how secure It Is. https://www.okta.com/identity101/fingerprint-biometrics-definition-how-secure-it-is/.
Peralta, D., Galar, M., Triguero, I., Miguel-Hurtado, O., Benitez, J.M. and Herrera, F., 2014. Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Engineering Applications of Artificial Intelligence, 32, pp. 37-53. Doi:10.1016/j.engappai.2014.02.016.
Rahman, S.M., Rumman K.M., Ahmmed R., and Rahman A., 2023. Fingerprint Based Biometric Attendance System. European Chemical Bulletin, 12(S3), pp. 184-190. Doi:10.31838/ecb/2023.12.s3.026
Rivera, R.B., 2021. Enhanced attendance monitoring system using biometric fingerprint recognition. International Journal of Recent Technology and Engineering, 9(5), pp. 1-4. Doi:10.35940/ijrte.E5070.019521
Seelam, V., kumar Penugonda, A., Kalyan, B.P., Priya, M.B., and Prakash, M.D., 2021. Smart attendance using deep learning and computer vision. Materials Today: Proceedings, 46, pp. 4091-4094. Doi:10.1016/j.matpr.2021.02.625
Socheat, S., and Wang, T., 2020. Fingerprint Enhancement, Minutiae Extraction and Matching Techniques. Journal of Computer and Communications, 8(5), pp. 55-74. Doi:10.4236/jcc.2020.85003.
Thales, G., 2021. Biometrics in 2020 (A helpful illustrated overview). https://www.thalesgroup.com/en/markets/digital-identity-and-security/government/inspired/biometrics.
Yongqiang, Z., and Ji, L., 2006. The design of wireless fingerprint attendance system. International Conference on Communication Technology. Doi:10.1109/ICCT.2006.341990
Younis, M.I., Abdulkareem, H.F., and Ali, H.M., 2015. Construction of graduation certificate issuing system based on digital signature technique. Journal of Engineering, 6(21), pp. 15–36. Doi:10.31026/j.eng.2015.06.02
Younis, M.I., and Abdulkareem, M., 2020. Pilgrim tracking and monitoring based on IoT. Journal of Physics: Conference Series, 1530(1), P. 012015. Doi:10.1088/1742-6596/1530/1/012015
Younis, M.I., and Hussein, T.F., 2018. Design and implementation of a contactless smart house network system. International Journal of Electrical and Computer Engineering (IJECE), 8(6), pp. 4663-4672. Doi:10.11591/ijece.v8i6.pp4663-4672
Younis M.I., and Muhammad R.S., 2018. IFRS: An indexed face recognition system based on face recognition and RFID technologies. Wireless Personal Communications, 101, pp. 1939–1966. Doi:10.1007/s11277-018-5800-8
Younis, M.I., and Alwan, A.H., 2021. Design and implementation of an IoT-based transactional system for quality management. Iraqi Journal of Science, pp. 658-675. Doi:10.24996/ijs.2021.62.2.30
Younis, M.I., 2014. Design and implementation of ICT-based recycle-rewarding system for green environment. Journal of Engineering, 20(7), pp. 36-47. Doi:10.31026/j.eng.2014.07.03
Younis, M.I., Al-Tameemi, Z.F.A., Ismail, W., and Zamli, K.Z., 2013. Design and implementation of a scalable RFID-based attendance system with an intelligent scheduling technique. Wireless personal communications, 71, pp., 2161-2179. Doi:10.1007/s11277-012-0929-3
Yuan, C., Zhang, Q., Wu, S., and Wu, J. Q., 2023. Chapter Four-A real-time fingerprint liveness detection method for fingerprint authentication systems. Advances of Computers, 131, pp. 149-180. Doi:10.1016/bs.adcom.2023.04.004