title: Can visual evoked potentials be used in biometric identification?
abstract: Due to known differences in the anatomical structure of the visual pathways and generators in different individuals, the use of visual evoked potentials offers the possibility of an alternative to existing biometrics methods. A study based on visual evoked potentials from 13 individuals was carried out to assess the best combination of temporal, spectral and AR modeling features to realize a robust biometric. From the results it can be concluded that visual evoked potentials show considerable biometric qualities, with classification accuracies reaching a high of 86.54% and that a specific temporal and spectral combination was found to be optimal. Based on these results the visual evoked potential may be a useful tool in biometric identification when used in conjunction with more established biometric methods.
authors.affiliation: School of Electrical & Electronic & Mechanical Engineering, University College Dublin, Ireland. alan.power@ee.ucd.ie
authors.forename: Alan J
authors.initials: AJ
authors.lastname: Power
authors.forename: Edmund C
authors.initials: EC
authors.lastname: Lalor
authors.forename: Richard B
authors.initials: RB
authors.lastname: Reilly
mesh_terms: D001698:Biomedical Engineering / Q000379:methods; D001699:Biometry / Q000295:instrumentation* / Q000379:methods; D003198:Computer Simulation; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods; D004867:Equipment Design; D005074:Evoked Potentials, Visual; D006801:Humans; D015233:Models, Statistical; D015203:Reproducibility of Results; D013997:Time Factors; D014793:Visual Cortex / Q000473:pathology; D014795:Visual Pathways