Design and Experimentation of Face liveliness Detection using Temperature Gradient and Image Quality Assessment
Betty P1, Mohana Geetha D2
1Betty P*, Research Scholar, Anna University. Chennai.
2Dr Mohana Geetha D, Professor, Dept. of Electronics and Communication Engineering, SNS College of Technology, Coimbatore.
Manuscript received on 16 August 2019. | Revised Manuscript received on 24 August 2019. | Manuscript published on 30 September 2019. | PP: 4360-4362 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5516098319/2019©BEIESP | DOI: 10.35940/ijrte.C5516.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Face recognition system has gained its importance as the digital imaging has received its growth. Since most of the handheld devices like mobile phone, tablet, laptop etc. have preinstalled digital cameras, it has become the easiest way of authentication. Due to the extensive usage of biometric as a measure of authentication, the proper feature transformation with improved security is to be established. For any biometric system to be robust, the genuineness of the input and the proper storage of the same . Liveliness detection using temperature gradient of the input samples with DNA codec based transformation is proposed in this paper. This methodology proven to be computationally worth when compared with the state of art techniques
Keywords: Biometrics, Data Security, Face Liveliness
Scope of the Article: Image Security