Abstract The conduct of the examination is vital to the survival and reputation of that institution. Students are becoming smarter in the act of examination misconduct, therefore there is a need to curtail the act even before it occurs. Preventing the act can save a lot of resources which can then be channeled in solving other problems. Impersonation is one the disturbing examination misconduct and has proven to be difficult to eradicate. This implies bringing someone in place of the candidate to write the exam on the candidate’s behalf. A security system aims to verify an individual’s identity and prevent impostors from accessing protected resources. This work provides a solution to prevent the act of impersonation in examination halls. The facial liveness detection system was developed to identify candidates of a particular hall before entrance so that only the right candidates are allowed into the hall. The system also differentiated between real face (a live face) and fake face (picture or id card). When tested with 30 students, it was found to be 100% accurate.

Keywords: facial liveness detection system, facial recognition system, liveness detection, convolutional neural network.

Works Cited:

Fatima Ahmed Abubakar, Atika Ahmad Jibrin, Ishaq Muhammad, Abdulrahman Abdulkarim, Zainab Aliyu Musa, Amatullah Yahaya Aliyu "LIVENESS FACIAL RECOGNITION SYSTEM FOR EXAMINATION HALL", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 8, pp. 1-6, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12801

PDF | DOI: 10.17148/IJARCCE.2023.12801

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