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Distinction Between Real Faces and Photos by Analysis of Face Data

Byong Kwon Lee1, Yang Sun Lee2,*

1 Dept. of Multimedia Engineering, College of Engineering, Dongguk University, Seoul, 04620, South Korea
2 Div. of Convergence Computer & Media, Mokwon University, Daejeon, 35349, South Korea

* Corresponding Author: Yang Sun Lee, email

Intelligent Automation & Soft Computing 2020, 26(1), 133-139.


Biometric user authentication using the face has been applied mainly to access control systems. However, access is allowed even when a photo is presented instead of an actual face. This can facilitate illegal access including attending as a substitute or substitute authentication. An alternative approach has been implemented to solve this problem. The approach determines between a real face and a photo of a face using a UV sensor but this requires substantial cost and installation process because additional hardware (the UV sensor) is necessary. This paper proposes a three-step approach to identify between a real image and a photo. Step 1 determines authenticity using the background data and eliminating the face data. Step 2 determines authenticity using eyelid blinking on the face and facial gestures. Step 3 authorizes the user by extracting the feature points on the face.


Cite This Article

B. K. Lee and Y. S. Lee, "Distinction between real faces and photos by analysis of face data," Intelligent Automation & Soft Computing, vol. 26, no.1, pp. 133–139, 2020.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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