@Article{2019.100000134,
AUTHOR = {Byong Kwon Lee, Yang Sun Lee},
TITLE = {Distinction Between Real Faces and Photos by Analysis of Face Data},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {133--139},
URL = {http://www.techscience.com/iasc/v26n1/39849},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2019.100000134}
}