The Use of Biometric Technology for Effective Personnel Management System in Organization


Although the concept of attendance systems has been carried over the years, in recent times the forms of its application has changed. Companies being aware of the importance of personnel attendance to overcome the problems raised from manual attendance systems have started to take advantage of biometric systems. Particularly, fingerprint and facial recognition are the two most used forms for biometric identification, since it is considered as the most reliable and secure method in terms of its uniqueness. Because manual attendance systems are timeconsuming and ineffective, companies review their control mechanisms for personnel attendance to integrate new technologies in their operations. This article proposes a new generation technological structure used to get effective results in personnel attendance systems. There are plenty of personnel attendance control systems in the market both for multinational companies or small companies. However, the number of web-based form of these systems is limited. Web-based personnel attendance control systems is quickly becoming one of the fastest growing technologies that enables instant data flow and reporting. According to the literature reviewed, more and more companies in Turkey have benefited over the time from web-based personnel attendance control systems. Nevertheless, there are not enough researches about it. The aim of this article is to design and implement a web-based attendance system for personnel in an organization by using biometric system (fingerprints and facial recognition combining with RFID card and password authentication) and support managers to make effective and efficient decision-making process. The proposed system has been implemented by following the steps of Software Development Life Cycle (SDLC). In the process of software development, a waterfall model was chosen that was used in many software projects and that composed of analysis, design, coding, test, version and maintenance phases. Since it is a linear sequential, progress is seen as flowing steadily downward (like a waterfall) through the phases of software implementation. Even though the waterfall approach is the earliest approach, it is still most widely known for software development. This research is expected to help managers in educational institutions in terms of effective personnel management, especially for institutions that have large number of employees. In addition, the developed system can also help educational institutions for adopting their personnel attendance system to new technologies. It was also known that private organizations use this kind of systems. However, educational institutions can also take advantage of biometric data in the web-based personnel management system.



Keywords: personnel attendance control system, personnel management, biometric systems, fingerprints and facial recognition

[1] Salh, G., Mansour, A. H., and Mohammed, M. F. E. (2015). Hand Geometric Recognition System based on Support Vector Machines (SVM). International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 3, pp. 445–452.

[2] BCC Research. (2016). Adoption of Biometric Technologies in Private and Public Sectors Driving Global Markets. Available at and-public-sectors-driving-global-markets (accessed 26 April 2018).

[3] Oloyede, M. O., Adedoyin, A. O., and Adewole K. S. (2013). Fingerprint biometric authentication for enhancing staff attendance system. International Journal of Applied Information Systems (IJAIS), vol. 5, no.3, pp. 19–24.

[4] Elijah, J., Mishra, A., Gana, M. U., et al. (2015). Staff monitoring system using biometric. International Journal of Engineering and Computer Science, vol. 6, no. 5, pp. 21448–21458.

[5] Maggay, J. G. (2017). Biometric attendance monitoring system of Cagayan State University–Lasam Campus, Philippines. International Journal of Research – Granthaalayah, vol. 5, no. 2, pp. 67–79.

[6] Navaz, A. S., Fiaz, A. S. S., Prabhadevi, C., et al. (2013). Human Resource Management System. IOSR Journal of Computer Engineering (IOSR JCE), vol. 8, no. 4, pp. 62–71.

[7] Garner, E. (2013). Recruitment and Selection: Hiring the People You Want. Bookboon.

[8] Bevan, S. and Hayday, S. (1998). Attendance management: A Review of Good Practice” Report 353. Institute for Employment Studies.

[9] Ashbourn, J. (2000). Biometrics: Advanced Identity Verification: The Complete Guide. London: Springer Verlag.

[10] Khan, B., Khan, M. K., and Alghatbar, K. S. (2010). Biometrics and identity management for homeland security applications in Saudi Arabia. African Journal of Business Management, vol. 4, no. 15, pp. 3296–3306.

[11] Prabhakar, S., Pankanti, S., and Jain, A. K. (2000). Biometrics recognition: Security and privacy concerns. IEEE Security & Privacy, vol. 1, no. 2, pp. 33–42.

[12] Global Market Insights. (2016). Available at industry-analysis/biometrics-market (accessed 28 April 2018).

[13] Tecim, V. (2015). Available at dosyalar/sgyd.pdf (accessed 26 April 2018).

[14] Ghahrai, A. (2008). Waterfall Model in Software Testing. Available at https://www. (accessed 26 February 2018).

[15] Balaji, S. and Murugaiyan, S. M. (2000). Waterfall vs V-Model vs Agile: A Comparative Study on SDLC. International Journal of Information Technology and Business Management, vol. 2, no. 1, pp. 26–30.

[16] Kartal Fire and Safety Systems. (2018). Available at index.php?sayfa=urunler&id=235&urun=yuz-okuma-terminali (accessed 27 April 2018).