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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Using Face Recognition to Detect “Ghost Writer” Cheating in Examination
verfasst von : Huan He, Qinghua Zheng, Rui Li, Bo Dong
Erschienen in: E-Learning and Games
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Abstract
Cheating in examinations of the online distance education is a serious problem which may damage the fairness of exam and further undermine the credibility and reputation of certificates. In order to detect the “Ghost Writer” cheating strategy that existed in both online and offline exams, we propose the Student Identification by Face Recognition (SIFR) framework, a three layers architecture based on face recognition technique and micro-service principle, to detect the ghostwriter who takes the exam for others. In addition, we implement a prototype system based on open source projects and public cloud services. To evaluate the system, an experimental test was conducted with public data. The results indicated that the SIFR framework is feasible and the accuracy of detection is directly affected by the performance of face recognition service, which can be upgraded or replaced with better facial feature extraction module.