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Future trends in iris recognition: an industry perspective

Future trends in iris recognition: an industry perspective

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Since 1994 iris recognition was established as a state-of-the-art technology in the field of biometric recognition, and after central intellectual property rights expired in 2011 it was established as a reliable alternative to fingerprint and face recognition-based systems. Its relevance is further backed by the integration in the currently largest biometric project (UID) as one of the main biometric modalities. In this chapter we discuss the current state, pending challenges, and upcoming trends of iris recognition from an industry perspective.

Chapter Contents:

  • 20.1 Customer requirements
  • 20.1.1 Robustness
  • 20.1.2 Performance
  • 20.1.2.1 Accuracy
  • 20.1.2.2 Speed
  • 20.1.3 Usability
  • 20.1.4 Choosing a modality
  • 20.2 Development process
  • 20.2.1 Bias and variability
  • 20.2.2 Parameter optimisation
  • 20.2.3 Evaluation and tools
  • 20.3 Future trends and challenges
  • 20.3.1 Sensor-related trends
  • 20.3.1.1 Capturing technology
  • 20.3.1.2 Raising the capture distance
  • 20.3.1.3 Mobile iris biometrics
  • 20.3.1.4 From NIR to visible spectrum
  • 20.3.1.5 Multi-modality and periocular
  • 20.3.2 Presentation attack detection
  • 20.3.3 Deep learning
  • 20.3.4 Standards
  • 20.4 Summary
  • Acknowledgement
  • References

Inspec keywords: iris recognition

Other keywords: UID biometric project; iris recognition; biometric recognition; biometric modalities

Subjects: Computer vision and image processing techniques; Image recognition

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