The International Arab Journal of Information Technology (IAJIT)


Face Anti-Spoofing System using Motion and Similarity Feature Elimination under Spoof

From border control to mobile device unlocking applications, the practical utility of biometric system can be seriously compromised due face spoofing attacks. So, face recognition systems require greater attention to combating face spoofing attacks. As, face spoofing attacks can be easily propelled through 3D masks, video replays, and printed photos so we are presented face recognition system using motion and similarity features elimination under spoof attacks against the Replay Attack and Institute of Automation, Chinese Academy of Sciences (CASIA) databases. In this paper a calculative analysis has been done by firstly segmenting the foreground and background regions from the input video using Gaussion Mixture Model and secondly by extracting features i.e., face, eye, and nose and applied 26 image quality assessment parameters on spoof face videos under different illumination lighting conditions. The results attained using Replay Attack and CASIA databases are extremely competitive in discriminating from fake traits with paralleled viz-a-viz other approaches. Different machine learning classifiers and their comparative analysis with existing approaches has been shown.

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[32] Zivkovic Z. and Van Der Heijden F., “Efficient Adaptive Density Estimation per Image Pixel for the Task of Background Subtraction,” Pattern Recognition Letters, vol. 27, no. 7, pp. 773-780, 2006. Aditya Bakshi received a B.Tech degree in computer science and engineering from Kurukshetra University, Haryana, India, in 2010, an M.Tech degree in computer science and engineering from the YMCA University of Science and Technology, Faridabad, India, in 2012. He is currently pursuing a Ph.D. degree in computer science and engineering from Shri Mata Vaishno Devi University, Jammu and Kashmir, India, and an Assistant Professor in the School of Computer Science and Engineering, Lovely Professional University, Punjab, India. He is currently involved in research work on biometric security and manet applications. His research interests include the security of next-generation biometric systems using image processing. Mr.Bakshi is a member of the International Association of Engineers and the Universal Association of Computer and Electronics Engineers. Sunanda Gupta received the Bachelor’s degree in Sciences and Master’s degree in Computer Applications from the University of Jammu, and the Ph.D. degree in Computer Science and Engineering from Shri Mata Vaishno Devi University, Jammu and Kashmir, India, in 2014. She is currently an Assistant Professor in the Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Jammu and Kashmir, India with more than twelve years of teaching experience. She has authored several research articles in international journals of repute and presented papers in several international/ national conferences. She has also been invited as an expert to various international conferences as a reviewer/ technical program committee member. Her research interests include combinational optimization problems, genetic algorithms, and image processing.