Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems

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Advances in Internet of Things

ISSN Print: 2161-6817
ISSN Online: 2161-6825
www.scirp.org/journal/ait
E-mail: ait@scirp.org

Google-based Impact Factor: 2.8
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"Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems"
written by Ayham Fayyoumi, Anis Zarrad,
published by Advances in Internet of Things, Vol.4 No.2, 2014

has been cited by the following article(s):

Google Scholar
CrossRef

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[16]	Riesgo de fraude en plataforma Moodle y evaluaciones asincrónicas en la Licenciatura en Lenguas Extranjeras con énfasis en inglés, CEAD José Acevedo y Gómez, (UNAD)
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[17]	Face recognition technology in the exam identity authentication system-implementation concept
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[34]	A Review on Facial Recognition for Online Learning Authentication
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[23]	Toward Developing a Syllabus-Oriented Computer-Based Question-Banks Software to Support Partially Computerized Exams Journal of Software Engineering and Applications, 2015 DOI:10.4236/jsea.2015.85026

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	customer@scirp.org
	+86 18163351462(WhatsApp)
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