Detection of Face Spoofing using Color Texture and Edge Features
Neenu Daniel1, A. Anitha2
1Neenu Daniel, Department of CSE, Noorul Islam Centre for Higher Education, Nagercoil (Tamil Nadu), India.
2A.Anitha, Department of CSE, Noorul Islam Centre for Higher Education, Nagercoil (Tamil Nadu), India.
Manuscript received on 13 February 2020 | Revised Manuscript received on 20 February 2020 | Manuscript Published on 28 February 2020 | PP: 33-37 | Volume-8 Issue-5S February 2020 | Retrieval Number: E10080285S20/2020©BEIESP | DOI: 10.35940/ijrte.E1008.0285S20
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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: The wide scale use of facial recognition systems has caused concerns about spoofing attacks. Security is essential requirement for a face recognition system to provide reliable protection against spoofing attacks. Spoofing happens in situations where someone tries to behave as an authorized user to obtain illicitly access the protected system to gain advantage over it. In order to identify spoofing attacks, face spoofing detection approaches have been used. Traditional face spoofing detection techniques are not good enough as most of them focus only on the gray scale information and discarding the color information. Here a face spoofing detection approach with color texture and edge analysis is presented. The approach for investigating the texture of input images, Local binary pattern and Edge Histogram descriptor are proposed. Experiments on a publicly available dataset, Replay attack, showed excellent results compared to existing works.
Keywords: Face Recognition, Color Texture Analysis, Spoofing Attacks, Spoofing Detection
Scope of the Article: Pattern Recognition