Implementation of pHash algorithm for face recognition in secured remote online examination system

Authors

  • Zeba Khanam
  • Mohammed Najeeb Ahsan

DOI:

https://doi.org/10.31695/IJASRE.2018.32917

Keywords:

pHash, Perceptual hash functions, Face recognition techniques, Cryptographic hashing, identity infringement, Secure online examination, DCT, Perceptual hash algorithms.

Abstract

In the rapidly growing learning environment remote online examination is the most common and efficient way of a candidate’s assessment. But the online assessment systems have stakes associated with them and so their security is a major concern. There are different types of security threats associated with them like content theft, examinee cheating or copying, someone else taking the exam on behalf of the examinee. Therefore it’s important to curb these threats to make these systems more reliable and credible. This paper presents a web based online examination system which uses a novel pHash algorithm for enhanced security to perform automated verification of the identity of the examinee by capturing a snapshot of him before the exam starts. The system will make automated image comparisons between the registered image of student and the sudden multi snapshots taken during the duration of the test that would reduce the probability of identity theft.

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Published

2018-11-05

How to Cite

Zeba Khanam, & Mohammed Najeeb Ahsan. (2018). Implementation of pHash algorithm for face recognition in secured remote online examination system. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 4(11), 1–5. https://doi.org/10.31695/IJASRE.2018.32917