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Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
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Can visual evoked potentials be used in biometric identification?

Alan J Power1, Edmund C Lalor, Richard B Reilly

  • 1School of Electrical & Electronic & Mechanical Engineering, University College Dublin, Ireland. alan.power@ee.ucd.ie

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
Summary

Visual evoked potentials (VEPs) show promise as a biometric identification method. This study found VEPs achieved 86.54% accuracy, suggesting their potential alongside existing biometrics.

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Area of Science:

  • Neuroscience
  • Biometrics
  • Signal Processing

Background:

  • Individual anatomical differences in visual pathways necessitate novel biometric solutions.
  • Existing biometrics may be enhanced by alternative physiological measures.

Purpose of the Study:

  • To evaluate visual evoked potentials (VEPs) as a robust biometric.
  • To identify optimal feature combinations (temporal, spectral, AR modeling) for VEP-based biometrics.

Main Methods:

  • A study involving 13 individuals was conducted.
  • Analysis focused on temporal, spectral, and AR modeling features of VEPs.
  • Classification accuracy was used to assess biometric robustness.

Main Results:

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Last Updated: Jul 10, 2026

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  • VEPs demonstrated significant biometric qualities.
  • Classification accuracies reached up to 86.54%.
  • A specific combination of temporal and spectral features proved optimal.

    • Conclusions:

    • Visual evoked potentials possess considerable biometric potential.
    • VEPs can serve as a valuable tool for biometric identification.
    • VEP analysis may complement established biometric methods.