Title :
Face anti-spoofing based on Radon transform
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Oradea, Bihor, Romania
Abstract :
In this paper I will present a technique to generate a digital signature for an image, which will uniquely identify it, using Radon transform. Even if Radon based approaches are broadly applicable to tomography (the construction of an image from the projection data related with cross-sectional scans of it), in this research work I will show how it can be successfully utilized to classify images and detect face spoof attacks. This increased popularity of face recognition system has raised disquiets about biometric attacks, where a photo of an authorized person´s face could be used by unauthorized individuals to access diverse services. The presented results prove this method offers similar performances to the state of the art and they were obtained using MATLAB 2013 environment and NUAA Photograph Imposter Database.
Keywords :
Radon transforms; authorisation; computer crime; digital signatures; face recognition; image classification; object detection; MATLAB; NUAA photograph imposter database; Radon transform; authorized person face photo; biometric attacks; digital signature; face antispoofing; face recognition system; face spoof attacks detection; image classification; unauthorized individuals; Accuracy; Databases; Digital signatures; Face; MATLAB; Shape; Transforms; Radon transform; classification; digital signature; security; spoof attacks;
Conference_Titel :
Engineering of Modern Electric Systems (EMES), 2015 13th International Conference on
Conference_Location :
Oradea
Print_ISBN :
978-1-4799-7649-2
DOI :
10.1109/EMES.2015.7158435
