Open Access
ARTICLE
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,
Intelligent Automation & Soft Computing 2020, 26(1), 133-139. https://doi.org/10.31209/2019.100000134
Abstract
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.
Keywords
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. https://doi.org/10.31209/2019.100000134