Light field cameras for presentation attack resistant robust biometric ocular system

Light field cameras for presentation attack resistant robust biometric ocular system

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In this chapter, a new paradigm is presented for solving the problem of out-of-focus imaging in visible spectrum iris recognition by employing a Light Field Camera (LFC). The ability of LFC, to refocus the parts of interest in a scene after the image capture, is explored to solve the out-of-focus problem in iris imaging in visible spectrum. This chapter also extends the use of LFC for periocular recognition and thereby presents an ocular biometric system using LFC in visible spectrum. Further, the chapter also presents the weighted score level fusion of iris and periocular characteristics to improve the overall performance.

Chapter Contents:

  • 7.1 Introduction
  • 7.2 Light-field imaging
  • 7.3 Scheme for iris and periocular verification
  • 7.3.1 Iris verification
  • ROI extraction
  • Segmentation and normalization
  • Feature extraction and classification
  • 7.3.2 Periocular verification
  • 7.3.3 Combining iris and periocular characteristics
  • 7.3.4 Database, experiments and results
  • Light-field iris and periocular database
  • Experiments and results
  • 7.4 Presentation attack resistant ocular biometrics in visible spectrum
  • 7.4.1 PAD algorithm employing the depth images from LFC
  • Pre-processing and focus estimation
  • Estimation of variation in focus
  • Classification
  • 7.4.2 Visible spectrum iris recognition system
  • 7.4.3 Presentation attack database
  • Bona-fide iris database
  • Artefact iris database
  • 7.4.4 Performance evaluation protocol
  • 7.4.5 Experiments and results
  • 7.5 Conclusion
  • References

Inspec keywords: image fusion; performance evaluation; iris recognition; image capture; cameras

Other keywords: performance improvement; visible spectrum iris recognition; presentation attack resistant robust biometric ocular system; iris imaging; light field cameras; out-of-focus problem; image capture; LFC; weighted score level fusion; periocular recognition

Subjects: Image recognition; Computer vision and image processing techniques

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