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Biometric antispoofing on mobile devices

Biometric antispoofing on mobile devices

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In the present chapter, after a thorough review of state-of-the-art in biometric antispoofing, we present a software-based spoof detection prototype for mobile devices, named MoBio_LivDet (Mobile Biometric Liveness Detection) that can be used in multiple biometric systems. MoBio_LivDet analyzes local features and global structures of face, iris and fingerprint biometric images using a set of low-level feature descriptors and decision-level fusion. In particular, we propose to use image descriptor classification algorithms Locally Uniform Comparison Image Descriptor (LUCID) [15], CENsus TRansform hISTogram (CENTRIST) [16] and Patterns of Oriented Edge Magnitudes (POEM) [17] for face, iris and fingerprint spoof detection. The proposed system allows user to choose “Security Level” (SL) against spoofing, between “low,” “medium“ and “high.” Depending on SL, the system selects unitdescriptor or multidescriptors-fusion-based liveness detection. These descriptors are computationally inexpensive, fast and novel approach to real-time image description, which are desirable requisites for mobile processors. Experiments on publicly available data sets containing several real and spoofed faces, irises and fingerprints show promising results.

Chapter Contents:

  • 15.1 Introduction
  • 15.2 Biometric antispoofing
  • 15.2.1 State-of-the-art in face antispoofing
  • 15.2.2 State-of-the-art in fingerprint antispoofing
  • 15.2.3 State-of-the-art in iris antispoofing
  • 15.3 Case study: MoBio_LivDet system
  • 15.3.1 Experiments
  • 15.4 Research opportunities
  • 15.4.1 Mobile liveness detection
  • 15.4.2 Mobile biometric spoofing databases
  • 15.4.3 Generalization to unknown attacks
  • 15.4.4 Randomizing input biometric data
  • 15.4.5 Fusion of biometric system and countermeasures
  • 15.5 Conclusion
  • References

Inspec keywords: transforms; fingerprint identification; image fusion; iris recognition; image classification; mobile computing

Other keywords: low-level feature descriptors; iris biometric images; POEM; image descriptor classification; LUCID; decision-level fusion; census transform histogram; CENTRIST; locally uniform comparison image descriptor; fingerprint biometric images; software-based spoof detection; biometric antispoofing; mobile biometric liveness detection; mobile devices; MoBio_LivDet; patterns of oriented edge magnitudes

Subjects: Ubiquitous and pervasive computing; Image recognition; Sensor fusion; Computer vision and image processing techniques; Data security; Integral transforms; Integral transforms

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