A proposed Iris Recognition Model for Authentication in Mobile Exams

Authors

  • Aayat Mahmoud Shdaifat Hashemite university
  • Randa A Obeidallah Hashemite university
  • Ghadeer Ghazal Hashemite university
  • Alaa Abu Sarhan Hashemite university
  • Nesreen Rabah Abu Spetan Jordan ministry of education

DOI:

https://doi.org/10.3991/ijet.v15i12.13741

Keywords:

Biometric, Mobile exam, Mobile learning, iris recognition, Authentication, Cheating, Identification, Learning

Abstract


Mobile learning is an extended version of e-learning. The revolution of handheld devices had encouraged design courses to be compatible with different mobiles versions, brands and platforms. Mobile exams need more attention to strengthen mobile learning certificates. A major issue with mobile exam is student authentication and identification before and during exam session. With no presence of proctor, more techniques are available to ensure student identification. In this paper, we proposed a model that uses a traditional username and password in addition to the biometric iris recognition technique to verify student identity before and during mobile exams.

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Published

2020-06-26

How to Cite

Shdaifat, A. M., Obeidallah, R. A., Ghazal, G., Abu Sarhan, A., & Abu Spetan, N. R. (2020). A proposed Iris Recognition Model for Authentication in Mobile Exams. International Journal of Emerging Technologies in Learning (iJET), 15(12), pp. 205–216. https://doi.org/10.3991/ijet.v15i12.13741

Issue

Vol. 15 No. 12 (2020)

Section

Papers

License

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