• Amanpreet
• Anil Kumar

Today the leading cause of reduced security is face attack that affects person’s identity as well as security system’s activities. Traditionally the mechanism is utilized for detecting face attack is not so accurate, user friendly and also they are time consuming. Therefore in this paper a hybrid approach is used that detect face attack by eliminating replicated features. It utilizes R-CNN mechanism that has great attack detection rate The result of the proposed system as compared to existing system is better by the margin of 8 to 10%.. The primary reason for the betterment is because of contrast enhancement and scaling factor at pre-processing and objective function overhead consideration at segmentation and classification phase. The results are shown in terms of accuracy and MSE.

R-CNN method, MSE, face attack

"An Enhanced approach for face attack detection using application of R-CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.141-146, May-2019, Available :http://www.jetir.org/papers/JETIR1905J23.pdf

"An Enhanced approach for face attack detection using application of R-CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp141-146, May-2019, Available at : http://www.jetir.org/papers/JETIR1905J23.pdf