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Fingerprint Biometric Authentication for Enhancing Staff Attendance System

Oloyede Muhtahir O. , Addoyin Adeyinka O., Adewole Kayode S. Published in Security

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
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  1. Oloyede Muhtahir O., Addoyin Adeyinka O. and Adewole Kayode S.. Article: Fingerprint Biometric Authentication for Enhancing Staff Attendance System. International Journal of Applied Information Systems 5(3):19-24, February 2013. BibTeX

    	author = "Oloyede Muhtahir O. and Addoyin Adeyinka O. and Adewole Kayode S.",
    	title = "Article: Fingerprint Biometric Authentication for Enhancing Staff Attendance System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 3,
    	pages = "19-24",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"


Biometric technology that involves the identification and verification of individuals by analyzing the human body characteristics has been widely used in various aspect of life for different purposes, most importantly as regards this study the issue of staff attendance. Despite the numerous advantages of the biometric system and its impact to various work sectors across the globe, most biometric technology users face the issue of defining the right and accurate biometric technology system that will be cost effective in solving particular problems in specific environment. In this paper, a study was conducted using a telecommunication company in the South West region of Nigeria, in order to determine the specific biometric identifier that can be used to enhance their traditional staff attendance system which presently affects the productivity of the organization. The study was conducted using a quantitative approach by designing a questionnaire as the data collection instrument based on different biometric technologies. The survey involved 37 employees based on stratified random sampling technique. The results however show that fingerprint biometric identifier was found suitable for the staff attendance management system of the organization. It therefore, implies that attention should be paid to several factors before recommending biometric technology as a means of improving the productivity of an organization business processes.


  1. BioLink 2006. Time and attendance, Retrieved 11th December, 2011 from http://www. m3biometrics. co. uk/Portals/2/downloads/BioTime_Time_and_Attendance. pdf.
  2. Graevenitz, G. A. 2003. Introduction to fingerprint technology. Retrieved 10th December, 2011 from http://info. bioenabletech. com/training/fingerprint/Introduction%20to%20Fingerprint. pdf.
  3. Hashim, A. Y. 2011. An enduring relationship between biometric traits and security systems, International Journal of Research and Reviews in Information Security and Privacy, 1(1), pp. 1-6.
  4. InfoTronics, Inc. 2008. Biometrics: Advantages for employee attendance verification, Michigan: Farmington Hills. Retrieved 11th November, 2011 from www. mwtime. com/biometrics. pdf.
  5. Lease, D. R. 2005. Factors Influencing the Adoption of Biometric Security Technologies. Information Technologies and Security Managers. Retrieved 15th August, 2011 from http://drdavidlease. com/uploads/David_Lease_Dissertation. pdf.
  6. Sandhu, P. S, Kaur, I. , Verma, A. , Samriti, J. and Singh, S. 2009. Biometric methods and implementation of algorithms. International Journal of Electrical and Electronics Engineering, 3(8).
  7. Yuihotakaishi, 2011. Attendance Monitoring System Using Biometrics for Security Staff, studymode Inspiring. Retrieved 9th June, 2012 from http://www. studymode. com/essays/Attendance-Monitoring-System-Using-Biometrics-For-732262. html.
  8. Kadry, S. and Smaili, M. 2010. Wireless Attendance Management System Based on Iris Recognition. Scientific research essay. Retrieved 15th October, 2012 from http://academicjournals. org/sre/PDF/pdf2010/18Jun/Kadry%20and%20Smaili. pdf.
  9. Mycroft, R. 2011. Performance and Strategy Scrutiny Committee. Staff productivity. Retrieved 16th November, 2012 from http://www. shropshire. gov. uk/committee. nsf/0/5994B308D8ECC9B48025788C004A5A54/$file/Item%207%20-%20Staff%20Productivity. pdf.
  10. Clavereau, M. (2011). Absence: time to tackle the root causes. Retrieved 9th December, 2012 from http://www. hrmagazine. co. uk/hro/news/1018998/absence-tackle-root-causes.
  11. Tuller, M. , Dhawan, A. , Simon, B. , Lee, K. , and Ward, D. 2006. Biometrics: Strategic Technology Analysis Technology Foresight Dynamics Group 4 White Paper.
  12. Bistarelli, S. , Boffi, G. , Rossi, F. , 2003. Computer Algebra for Fingerprint Matching. Retrieved 11th July, 2012 from http://dl. acm. org/citation. cfm?id=1764265.
  13. Jain, A. , Hong, L. , Pankanti, S. , Bolle, R. , 1997. An Identity Authentication System Using Fingerprints. Retrieved 10th June, 2012 from http://biometrics. cse. msu. edu/Publications/Fingerprint/JainEtAlIdentityAuthUsingFp_ProcIEEE97. pdf.
  14. BioElectronix, Inc. 2012. Powerful & easy to use Time & Attendance Software. Retrieved 11th July, 2012 from http://www. bioelectronix. com/ec_50. html.
  15. Liz, P. 2012. Biometric Benefits; Fingerprint readers reduce inventory shrink and eliminate payroll fraud. Retrieved 12th December, 2012 from http://www. stores. org/STORES%20Magazine%20April%202012/biometric-benefits#. UMpT1pG31d8.
  16. Saunders, M. , Lewis, P. , Thornhill, A. 2007. Research Methods for Business Students (4th ed. ), Pitman publishing, ISBN: 978–0–273–7168670.
  17. Stake, R. E. 2010. Qualitative Research, Studying how things work. Retrieved 24th July, 2012 from http://books. google. co. uk/books?hl=en&lr=&id=wwwVpKNFoxEC&oi=fnd&pg=PR1&dq=Qualitative+Research+Studying+How+Things+Work+Robert+E. +Stake&ots=MaeZGsfzTp&sig=CPnqbO2ns.
  18. Neuman, W. L. 2007. Basics of social Research, Qualitative and Quantitative Approaches, Publisher's Design and Production Services, Pearson Education Inc. ISBN: 0-205-48-13.
  19. NSTCS, 2006. Biometrics Technologies. National Science and Technology Council Subcommittee on Biometrics. Retrieved 2nd July, 2012 from http://techbiometric. com/downloads/view-document-details/biometrics-foundation documents
  20. Jiexun L. , Wang . A. and Chen H (2011). 'Identity matching using personal and social identity features'; 13: 101 – 113
  21. Capoor S. (2006). 'Biometrics as a Convenience Security', Business story December 1, 48, 50. Retrieved 16th October, 2012 from http://proquest. umi. com/pqdweb?index=0&did=1182578721&SrchMode=1&sid=7&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1304031215&clientId=13314.
  22. Dubin, C. (2011). 'Biometrics: Hands Down', ID management. Security, February 1, 52, 54. Retrieved 13th November 2011from http://proquest. umi. com/pqdweb?index=0&did=2277161341&SrchMode=1&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1304030671&clientId=13314 .
  23. Kreimer . S. (2010). 'Matching the Right Patient to the Right Record'. Hospitals & Health Networks,November 1, 12. Retrieved 17th December 2011 from http://proquest. umi. com/pqdweb?index=0&did=2212480041&SrchMode=1&sid=1&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1304102414&clientId=13314.
  24. Zalud, B. (2010). 'Poor Sister No More: Access Enters Spotlight Again'. Journal of Access management Security, August 1, 42,44-45. Retrieved 28th April 2011 from http://proquest. umi. com/pqdweb?index=0&did=2114680931&SrchMode=1&sid=18&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1304034968&clientId=13314


Biometric, verification, staff attendance, telecommunication, productivity