ABSTRACT
This document describes the software framework of an ocular biometric system. The framework encompasses several interconnected components that allow an end-user to perform biometric enrollment, verification, and identification with most common eye tracking devices. The framework, written in C#, includes multiple state-of-the-art biometric algorithms and information fusion techniques, and can be easily extended to utilize new biometric techniques and eye tracking devices.
Supplemental Material
- D. Noton and L. W. Stark. 1971. Scanpaths in Eye Movements during Pattern Perception. Science 171, 308--311.Google ScholarCross Ref
- P. Kasprowski and J. Ober. 2004. Eye Movements in Biometrics. In European Conference on Computer Vision (ECCV), 248--258.Google Scholar
- O. V. Komogortsev and A. Karpov. 2013. Liveness Detection via Oculomotor Plant Characteristics: Attack of Mechanical Replicas. In IEEE/IAPR International Conference on Biometrics (ICB), 1--8.Google Scholar
- O. V. Komogortsev, A. Karpov, C. D. Holland and H. Proença. 2012. Multimodal Ocular Biometrics Approach: A Feasibility Study. In Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 1--8.Google Scholar
- J. S. Agustin, H. Skovsgaard, J. P. Hansen and D. W. Hansen. 2009. Low-cost Gaze Interaction: Ready to Deliver the Promises. In Conference on Human Factors in Computing (CHI), 4453--4458. Google ScholarDigital Library
- C. D. Holland and O. V. Komogortsev. 2012. Eye Tracking on Unmodified Common Tablets: Challenges and Solutions. In Eye Tracking Research & Applications (ETRA) Symposium, 1--4. Google ScholarDigital Library
- C. D. Holland and O. V. Komogortsev. 2011. Biometric Identification via Eye Movement Scanpaths in Reading. In International Joint Conference on Biometrics (IJCB), 1--8. Google ScholarDigital Library
- C. D. Holland and O. V. Komogortsev. 2013. Complex Eye Movement Pattern Biometrics: Analyzing Fixations and Saccades. In IAPR International Conference on Biometrics (ICB), 1--8.Google Scholar
- O. V. Komogortsev and C. D. Holland. 2013. Biometric Authentication via Complex Oculomotor Behavior. In International Conference on Biometrics: Theory, Applications and Systems (BTAS), 1--8.Google Scholar
- O. V. Komogortsev, U. K. S. Jayarathna, C. R. Aragon and M. Mechehoul. 2010. Biometric Identification via an Oculomotor Plant Mathematical Model. In Eye Tracking Research & Applications (ETRA) Symposium, 57--60. Google ScholarDigital Library
Index Terms
- Software framework for an ocular biometric system
Recommendations
Multispectral scleral patterns for ocular biometric recognition
Biometrics is the science of recognizing people based on their physical or behavioral traits such as face, fingerprints, iris, and voice. Among these characteristics, ocular biometrics has gained popularity due to the significant progress made in iris ...
Biometric keypads: Improving accuracy through optimal PIN selection
While online applications can provide convenience to individuals and organizations, they can pose significant remote user authentication challenges. One possible solution to these challenges is to utilize behavioral typing patterns to provide an ...
Spectroscopically Enhanced Method and System for Multi-Factor Biometric Authentication
This paper proposes a spectroscopic method and system for preventing spoofing of biometric authentication. One of its focus is to enhance biometrics authentication with a spectroscopic method in a multi-factor manner such that a person's unique ‘...
Comments