Secure Face:Spoof Detection
Journal Title: GRD Journal for Engineering - Year 2017, Vol 2, Issue 3
Abstract
Spoofing attack against biometric systems is still an important issue. Face spoofing is a form of attack that is presenting a fake sample to the acquisition sensor with facial information of a valid user. Compared to various attacks against fingerprint, speech or iris recognition systems, the ubiquitous nature of image acquisition devices, such as cameras and smartphones, allows attackers to acquire facial images of a user easily and discretely. This paper presents a literature survey on spoof detection methods and proposes a method to detect whether the input face is spoofed or not. Edge Adaptive Hybrid Filter is used for image enhancement and Naive Bayes classifier is used for classification to detect spoofed face.
Authors and Affiliations
Priyanka Agarwal, Shambhavi Joshi, Kalyani Kamble
Keywords
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