• Mr. Pratik Kamble
• Dhruv Shelke
• Harshal Netkar
• Ashish Sonawane
• Swaraj Naik, Shubham Kondhane

Online examination is an essential component of E-learning, that has grown exponentially day by day. Cheating in online exams is so easy all over the world regardless of the levels of development. This paper presents a robust face liveness detection method using a face that can be used in detecting spoof attacks for differentiation between legitimate and illegitimate users. The system uses the light reflection concept for detecting a photo face or real face while recording a video or taking an image of the examinee during an examination. The face detection is done using Haar cascade and SVM is used for face recognition. The LBP filter technique is used for detecting the light reflection of an image

Face fraud detection, light reflection, LBP Filter technique, face liveness detection, Support Vector Machine, Haar Cascade classifier, Feature Extraction.

"Implementing a system for Face Fraud Detection in Online Exam", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b732-b737, July-2021, Available :http://www.jetir.org/papers/JETIR2107221.pdf

"Implementing a system for Face Fraud Detection in Online Exam", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb732-b737, July-2021, Available at : http://www.jetir.org/papers/JETIR2107221.pdf