Three‐dimensional and two‐and‐a‐half‐dimensional face recognition spoofing using three‐dimensional printed models. Issue 2 (1st June 2016)

• Record Type: Journal Article
• Authors: Galbally, Javier; Satta, Riccardo
• Is Part Of: IET biometrics. Volume 5:Issue 2(2016)
• Page Start: 83
• Page End: 91
• Publication Date: 2016-06-01
• Subjects: face recognition -- biometrics (access control) -- security of data -- data acquisition; two‐and‐a‐half‐dimensional face recognition spoofing -- three‐dimensional face recognition spoofing -- biometric systems -- external attacks -- physical artefact -- legitimate user -- low‐complexity characteristics -- low‐cost characteristics -- self‐manufactured three‐dimensional printed model -- 3D face recognition systems -- 2.5D face recognition systems -- fake data acquistion; Biometric identification -- Periodicals; 570.15195
• DOI: 10.1049/iet-bmt.2014.0075
• Languages: English
• ISSNs: 2047-4938

Abstract

Abstract : The vulnerability of biometric systems to external attacks using a physical artefact in order to impersonate the legitimate user has become a major concern over the last decade. Such a threat, commonly known as 'spoofing', poses a serious risk to the integrity of biometric systems. The usual low‐complexity and low‐cost characteristics of these attacks make them accessible to the general public, rendering each user a potential intruder. The present study addresses the spoofing issue analysing the feasibility to perform low‐cost attacks with self‐manufactured three‐dimensional (3D) printed models to 2.5D and 3D face recognition systems. A new database with 2D, 2.5D and 3D real and fake data from 26 subjects was acquired for the experiments. Results showed the high vulnerability of the three tested systems, including a commercial solution, to the attacks.