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Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management

Received: 19 December 2017     Accepted: 29 December 2017     Published: 17 January 2018
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Abstract

Today many educational institutions use the manual system of taking attendance in which student writes their names and matric numbers on a sheet of paper or in an attendance sheet. To eradicate the problem associated with the manual attendance system such as student not coming to class, writing of names for students who are not present, an automated approach is implemented through biometric technology embedded with a window application which is fully explained in this work. This paper presents design and construction of student attendance management system. The developed system comprises of a timekeeping system that will register every student in a database. The database itself will be managed by the department, so that reports, either individual or collective, can be issued whenever they are needed on both physical and electronic format. Also, these reports would be used to create statistics and further help the growth of the academic process.

Published in American Journal of Embedded Systems and Applications (Volume 6, Issue 1)
DOI 10.11648/j.ajesa.20180601.11
Page(s) 1-10
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Attendance, Radio, Fingerprint, Student

References
[1] Hong, L. (1998). Automatic Personal Identification Using Fingerprint. Michigan: Michigan State University.
[2] Mary, J., & Aliman, M. (2008). Development of a Fingerprint Classification Scheme for Improved Fingerprint Identification. Diliman: University of the Philippines.
[3] Raymond, T. (2009). Fingerprint Image Enhancement and Minutiae Extraction. Australia: The University of Western Australia.
[4] Akinduyite, C., Adetunmbi, A., Olabode, O., & Ibidunmoye, E. (2015). Fingerprint Based Attendance Management System. Department of Computer Science. Akure, Ondo State: Federal University of Technology.
[5] Rishabh, M., & Prashant, T. (2011). Student Attendance System Based On Fingerprint Recognition and One-to-Many Matching. National Institute of Technology Rourkela, Department of Computer Science and Engineering. India: Rourkela-769 008.
[6] Tirmann, V., & Tăbuşcă, A. (2016). University Student Attendance Management System. Journal Of Information Systems & Operations Management, Pp (1-8).
[7] Kalaisankaran, B. (2013). Students Attendance Management System. Dr. Mahalingam College Of Engineering And Technology, Department of Computer Applications, Pollachi.
[8] Liew, K. N. (2015). Fingerprint Recognition Student Attendance Management System. University Tunku Abdul Rahman, Information Systems Engineering. Faculty of Information and Communication Technology.
[9] Redcort. (2011, August 26). Time and Attendance Article: History Of Time And Attendance Systems. Retrieved from Redcort Software: https://www.redcort.com/blog/2011/08/history-of-time-and-attendance-systems.
[10] Sopan, B., Poonam, C., Vaijanti, P., Apurva, S., & Dhoot, G. (2016, July 06). Fingerprint Based Attendance Management System with SMS Alert to Parents. International Journal of Research in Advent Technology (IJRAT), pp (1-5).
[11] Shoewu, O., Olaniy, M., & Lawson, A. (2011). Embedded Computer-Based Lecture Attendance Management System. African Journal of Computing and ICT, Vol. 4 (Issue 3), Pp (27-36).
[12] Ononiwu, G., & Okorafor, N. (2012). Radio Frequency Identification (RFID) Based Attendance System With Automatic Door Unit. International Journal of Academic Research, Vol. 2 (Issue 2).
[13] Arulogun, T., olatunbosun, A., Fakolujo, A., & Olaniyi, O. (2013). RFID-Based Students Attendance Management System. International Journal of Scientific & Engineering Research, Volume 4 (Issue 2).
[14] Longe. (2009). Implementation of Student Attendance System using RFID Technology. Ladoke Akintola University of Technology, Ogbomosho.
[15] Amadi, Q. N., Obrki, G., & Chuwuji, M. (2012). Student Attendance Management System. Work Report, Delta State Polytecnic, Dept. of Comp. Engr, Otefe Oghara.
[16] Mohit, B., Deeksha, R., & Gunjeet, K. (2016). Biometric Attendance System. International Journal of Engineering Applied Sciences and Technology, Vol. 1 (Issue 6), pp 195-199.
[17] Microchip. (2015). Atmega328P. Retrieved August 11, 2017, from Microchip: http://www.microchip.com/ wwwproducts/en/ATmega328P.
[18] Chamberlin, T. (2012, March 07). 9 V regulator using 7809. Retrieved from Circuits Today: http://www.circuitstoday.com/9-v-regulator-using-7809.
[19] Kenneth, N., & Josef, B. (2003). Localization of Corresponding Points in Fingerprints by complex Filtering. Pattern Recognition Letter.
[20] Wiki, G. Arduino SD card Module. GTWiki. [Online] July 14, 2014. [Cited: August 11, 2017.] http://www.geeetech.com/wiki/index.php/Arduino_SD_card_Module.
[21] Zatin, S., & Rajneesh, K. G. (2012). Remote Monitoring of Attendance System based on RFID using GSM Network. International Journal of Computer Applications.
Cite This Article
  • APA Style

    Blessed Olalekan Oyebola, Kayode Oluwabukola Olabisi, Oyerinde Solomon Adewale. (2018). Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management. American Journal of Embedded Systems and Applications, 6(1), 1-10. https://doi.org/10.11648/j.ajesa.20180601.11

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    ACS Style

    Blessed Olalekan Oyebola; Kayode Oluwabukola Olabisi; Oyerinde Solomon Adewale. Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management. Am. J. Embed. Syst. Appl. 2018, 6(1), 1-10. doi: 10.11648/j.ajesa.20180601.11

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    AMA Style

    Blessed Olalekan Oyebola, Kayode Oluwabukola Olabisi, Oyerinde Solomon Adewale. Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management. Am J Embed Syst Appl. 2018;6(1):1-10. doi: 10.11648/j.ajesa.20180601.11

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  • @article{10.11648/j.ajesa.20180601.11,
      author = {Blessed Olalekan Oyebola and Kayode Oluwabukola Olabisi and Oyerinde Solomon Adewale},
      title = {Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management},
      journal = {American Journal of Embedded Systems and Applications},
      volume = {6},
      number = {1},
      pages = {1-10},
      doi = {10.11648/j.ajesa.20180601.11},
      url = {https://doi.org/10.11648/j.ajesa.20180601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajesa.20180601.11},
      abstract = {Today many educational institutions use the manual system of taking attendance in which student writes their names and matric numbers on a sheet of paper or in an attendance sheet. To eradicate the problem associated with the manual attendance system such as student not coming to class, writing of names for students who are not present, an automated approach is implemented through biometric technology embedded with a window application which is fully explained in this work. This paper presents design and construction of student attendance management system. The developed system comprises of a timekeeping system that will register every student in a database. The database itself will be managed by the department, so that reports, either individual or collective, can be issued whenever they are needed on both physical and electronic format. Also, these reports would be used to create statistics and further help the growth of the academic process.},
     year = {2018}
    }
    

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    T1  - Fingerprint for Personal Identification: A Developed System for Students Attendance Information Management
    AU  - Blessed Olalekan Oyebola
    AU  - Kayode Oluwabukola Olabisi
    AU  - Oyerinde Solomon Adewale
    Y1  - 2018/01/17
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    N1  - https://doi.org/10.11648/j.ajesa.20180601.11
    DO  - 10.11648/j.ajesa.20180601.11
    T2  - American Journal of Embedded Systems and Applications
    JF  - American Journal of Embedded Systems and Applications
    JO  - American Journal of Embedded Systems and Applications
    SP  - 1
    EP  - 10
    PB  - Science Publishing Group
    SN  - 2376-6085
    UR  - https://doi.org/10.11648/j.ajesa.20180601.11
    AB  - Today many educational institutions use the manual system of taking attendance in which student writes their names and matric numbers on a sheet of paper or in an attendance sheet. To eradicate the problem associated with the manual attendance system such as student not coming to class, writing of names for students who are not present, an automated approach is implemented through biometric technology embedded with a window application which is fully explained in this work. This paper presents design and construction of student attendance management system. The developed system comprises of a timekeeping system that will register every student in a database. The database itself will be managed by the department, so that reports, either individual or collective, can be issued whenever they are needed on both physical and electronic format. Also, these reports would be used to create statistics and further help the growth of the academic process.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • Department of Computer Engineering Technology, Gateway (ICT) Polytechnic Saapade, Remo North, Nigeria

  • Department of Computer Engineering Technology, Gateway (ICT) Polytechnic Saapade, Remo North, Nigeria

  • Department of Computer Engineering Technology, Gateway (ICT) Polytechnic Saapade, Remo North, Nigeria

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