Three-dimensional and two-and-a-half-dimensional face recognition spoofing using three-dimensional printed models

Galbally, Javier; Satta, Riccardo

doi:10.1049/iet-bmt.2014.0075

Cited by 51 publications

(34 citation statements)

References 37 publications

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“…However, in the case of facial recognition, as with fingerprint recognition, previous iterations of this technology has been shown to be easily compromised. For example, facial recognition has previously been circumvented with the use of printed masks/photos [29] [30].…”

Section: Survey Resultsmentioning

confidence: 99%

The language of biometrics: Analysing public perceptions

Buckley

Nurse

2019

Journal of Information Security and Applications

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There is an increasing shift in technology towards biometric solutions, but one of the biggest barriers to widespread use is the acceptance by the users. In this paper we investigate the understanding, awareness and acceptance of biometrics by the general public. The primary research method was a survey, which had 282 respondents, designed to gauge public opinion around biometrics. Additionally, qualitative data was captured in the form of the participants' definition of the term biometrics. We applied thematic analysis as well as an automated Word Vector analysis to this data to provide a deeper insight into the perceptions and understanding of the term. Our results demonstrate that while there is generally a reasonable level of understanding of what biometrics are, this is typically limited to the techniques that are most familiar to participants (e.g., fingerprints or facial recognition). Most notably individuals' awareness overlooks emerging areas such as behavioural biometrics (e.g., gait). This was also apparent when we compared participants' views to definitions provided by official, published sources (e.g., ISO, NIST, OED, DHS). Overall, this article provides unique insight into the perceptions and understanding of biometrics as well as areas where users may lack knowledge on biometric applications.

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Section: Survey Resultsmentioning

confidence: 99%

The language of biometrics: Analysing public perceptions

Buckley

Nurse

2019

Journal of Information Security and Applications

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“…A further study addresses the spoofing issue by analyzing the feasibility of low-cost attacks with selfmanufactured three-dimensional printed models to 2D (photo attacks), 2.5D (video attacks) and 3D (mask attacks) face recognition systems [29]. However, 3D face recognition technology may fail the challenge posed by more sophisticated type of attacks based on the presentation of a 3D face reproduction to the acquisition sensor used.…”

Section: Related Workmentioning

confidence: 99%

Access Control in Smart Homes by Android-Based Liveness Detection

Spinsante¹,

Montanini²,

Bartolucci³

et al. 2017

ICST Transactions on Ambient Systems

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Technologies for personal safety and security play an increasing role in modern life, and are among the most valuable features expected to be supported by so-called smart homes. This paper presents a low-complexity Android application designed for both mobile and embedded devices, that exploits the available on-board camera to easily capture two images of a subject, and processes them to discriminate a true 3D and live face, from a fake or printed 2D one. The liveness detection based on such a discrimination provides antispoofing capabilities to secure access control based on face recognition. The limited computational complexity of the developed application makes it suitable for practical implementation in video-entry phones based on embedded Android platforms. The results obtained are satisfactory even in different ambient light conditions, and further improvements are being developed to deal with low precision image acquisition.

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“…In recent years, the rapid advancement of 3D printing technologies and services has made it easier and cheaper to make 3D masks. Several 3D mask attack databases have been created, inlcuding the 3DMAD (3D Mask Attack Database [11]), the 3DFS-DB (3D-face spoofing database [14]), the HKBU-MARs (HKBU 3D Mask Attack with Real World Variations Database [24]), and the SMAD (Silicone Mask Attack Database [28]).…”

Section: Introductionmentioning

confidence: 99%

“…Although these 3D presentation attack databases have collected different 3D masks based on the third-party services [11,24], by self-manufacturing [14], or from online resources [28], the databases are restricted to small data sizes (mostly less than 30 subjects) or low mask qualities.…”

Section: Introductionmentioning

confidence: 99%

A Database for Face Presentation Attack Using Wax Figure Faces

Jia

Guo

et al. 2019

New Trends in Image Analysis and Processing – ICIAP 2019

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Compared to 2D face presentation attacks (e.g. printed photos and video replays), 3D type attacks are more challenging to face recognition systems (FRS) by presenting 3D characteristics or materials similar to real faces. Existing 3D face spoofing databases, however, mostly based on 3D masks, are restricted to small data size or poor authenticity due to the production difficulty and high cost. In this work, we introduce the first wax figure face database, WFFD, as one type of super-realistic 3D presentation attacks to spoof the FRS. This database consists of 2200 images with both real and wax figure faces (totally 4400 faces) with a high diversity from online collections. Experiments on this database first investigate the vulnerability of three popular FRS to this kind of new attack. Further, we evaluate the performance of several face presentation attack detection methods to show the attack abilities of this super-realistic face spoofing database.

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Three-dimensional and two-and-a-half-dimensional face recognition spoofing using three-dimensional printed models

Cited by 51 publications

References 37 publications

The language of biometrics: Analysing public perceptions

The language of biometrics: Analysing public perceptions

Access Control in Smart Homes by Android-Based Liveness Detection

A Database for Face Presentation Attack Using Wax Figure Faces

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