Skip to Main content Skip to Navigation

Spoofing and disguise variations in face recognition

Abstract : Human recognition has become an important topic as the need and investments for security applications grow continuously. Numerous biometric systems exist which utilize various human characteristics. Among all biometrics traits, face recognition is advantageous in terms of accessibility and reliability. In the thesis, two challenges in face recognition are analyzed. The first one is face spoofing. Spoofing in face recognition is explained together with the countermeasure techniques that are proposed for the protection of face recognition systems against spoofing attacks. For this purpose, both 2D photograph and 3D mask attacks are analyzed. The second challenge explored in the thesis is disguise variations, which are due to facial alterations, facial makeup and facial accessories (occlusions). The impact of these disguise variations on face recognition is explored, separately. Then, techniques which are robust against disguise variations are proposed.
Complete list of metadata

Cited literature [122 references]  Display  Hide  Download
Contributor : ABES STAR :  Contact
Submitted on : Friday, December 9, 2016 - 4:49:06 PM
Last modification on : Friday, July 31, 2020 - 10:44:09 AM
Long-term archiving on: : Monday, March 27, 2017 - 2:52:17 PM


Version validated by the jury (STAR)


  • HAL Id : tel-01413382, version 1


Neslihan Kose. Spoofing and disguise variations in face recognition. Image Processing [eess.IV]. Télécom ParisTech, 2014. English. ⟨NNT : 2014ENST0020⟩. ⟨tel-01413382⟩



Record views


Files downloads