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dc.contributor.advisorKomogortsev, Oleg V.
dc.contributor.authorHolland, Corey D. ( )
dc.date.accessioned2015-05-07T20:44:39Z
dc.date.available2015-05-07T20:44:38Z
dc.date.created2015-05
dc.date.issued2015-04-14
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/5515
dc.description.abstractEye movements present a novel and unique solution to the challenges faced by modern biometrics. Consisting of both physical and neurological components, and due to the minute scale, the accurate replication of eye movements outside of a living subject is practically infeasible (if not impossible), providing an inherent level of liveness detection and counterfeit-resistance. Further, recent advances in video-oculography allow for the efficient capture of eye movements from even low-quality image sensors, reducing the cost of entry and enabling integration with many existing iris, periocular, and facial recognition systems. The following thesis describes the development of biometric techniques for the automated identification of human subjects based on patterns of eye movements that occur naturally during directed viewing of a visual stimulus. The proposed techniques are then evaluated according to standard practices in the biometric field to assess performance under varying environmental conditions. The results of this evaluation are analyzed to provide recommendations for suitable applications of the described techniques and direction for future research in this area.
dc.formatText
dc.format.extent65 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectBiometrics
dc.subjectEye Tracking
dc.subject.lcshBiometric identificationen_US
dc.subject.lcshHuman-machine systemsen_US
dc.subject.lcshBiomedical engineeringen_US
dc.subject.lcshEye movementsen_US
dc.titleDevelopment, Evaluation, and Analysis of Complex Eye Movement Biometrics
txstate.documenttypeThesis
dc.contributor.committeeMemberLu, Yijuan
dc.contributor.committeeMemberGuirguis, Mina S.
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
txstate.departmentComputer Science


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