Article: JomImage identification attendance systems Journal: International Journal of Business Information Systems (IJBIS) 2024 Vol.47 No.2 pp.255 - 271 Abstract: As technology is growing rapidly, machines are designed to reduce the daily workload of mankind. Keeping track of student's attendance is a challenging task especially for bigger classes using manual paper-based. Facial authentication is increasing more significant with the rapid appearance of image processing technology. Consequently, many studies have explored the integration of identification systems into the procedure of affirming onsite presence. Yet, lesser studies have been on taking university physical attendance to support process efficiency and cost optimisation, leading towards enhanced reputation. To understand the paradigm shift of digitisation, a mixed method of primary data collection using an online survey among academician and students were deployed. The studies analyse various technology-enabling factor while highlighting future direction. Our finding extends new theoretical knowledge and managerial implication to the implementation of image-based attendance. Inderscience Publishers - linking academia, business and industry through research

Title: JomImage identification attendance systems

Authors: Fu Keat Tee; Giin Xiin Loh; K. Sumaiya; Zhan Yong Cha; Poh Soon JosephNg

Addresses: Institution of Computer Science and Digital Innovation, UCSI University, UCSI Heights.56000 Cheras, Kuala Lumpur, Malaysia ' Institution of Computer Science and Digital Innovation, UCSI University, UCSI Heights.56000 Cheras, Kuala Lumpur, Malaysia ' Institution of Computer Science and Digital Innovation, UCSI University, UCSI Heights.56000 Cheras, Kuala Lumpur, Malaysia ' Institution of Computer Science and Digital Innovation, UCSI University, UCSI Heights.56000 Cheras, Kuala Lumpur, Malaysia ' Institution of Computer Science and Digital Innovation, UCSI University, UCSI Heights.56000 Cheras, Kuala Lumpur, Malaysia

Abstract: As technology is growing rapidly, machines are designed to reduce the daily workload of mankind. Keeping track of student's attendance is a challenging task especially for bigger classes using manual paper-based. Facial authentication is increasing more significant with the rapid appearance of image processing technology. Consequently, many studies have explored the integration of identification systems into the procedure of affirming onsite presence. Yet, lesser studies have been on taking university physical attendance to support process efficiency and cost optimisation, leading towards enhanced reputation. To understand the paradigm shift of digitisation, a mixed method of primary data collection using an online survey among academician and students were deployed. The studies analyse various technology-enabling factor while highlighting future direction. Our finding extends new theoretical knowledge and managerial implication to the implementation of image-based attendance.

Keywords: face recognition; automatic attendance system; OpenCV; authentication; PCA; biometric; web-based; machine learning; real-time monitoring.

DOI: 10.1504/IJBIS.2024.142292

International Journal of Business Information Systems, 2024 Vol.47 No.2, pp.255 - 271

Received: 18 Jan 2021
Accepted: 13 May 2021
Published online: 17 Oct 2024 *

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Title: JomImage identification attendance systems

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