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Can Microsaccades Be Used for Biometrics?
Kiril Alexiev1, Teodor Vakarelski1
1Institute of Information and Communication Technologies, Bulgarian Academy of Science, 25A Acad. G. Bonchev Str., 1113 Sofia, Bulgaria.
Sensors (Basel, Switzerland)
|January 8, 2023
Summary
Microsaccades, a type of fixational eye movement, offer unique biometric data. This study details their extraction and analysis for enhanced personal identification.
Area of Science:
- Ophthalmology
- Biometrics
- Computer Science
Background:
- Human eyes exhibit continuous motion, even during fixation.
- Three types of fixational eye movements (FEM) exist: microsaccades, drift, and tremor.
- Microsaccades are rapid, jerky eye movements during visual fixation.
Purpose of the Study:
- To explore microsaccades as a novel data source for biometric analysis.
- To establish the superiority of microsaccades over drift and tremor for identification.
- To introduce a methodology for microsaccade extraction and parameter definition.
Main Methods:
- Detailed description of microsaccade extraction process.
- Definition and derivation of thirteen key microsaccade parameters.
- Application of a gradient algorithm for biometric problem-solving.
Main Results:
- Microsaccades provide a robust basis for biometric analysis.
- A set of thirteen parameters effectively characterizes microsaccades for identification.
- The gradient algorithm successfully utilized these parameters for biometric tasks.
Conclusions:
- Microsaccades are a promising and underutilized source for biometric identification.
- The proposed method offers a novel approach to eye-movement-based biometrics.
- Further research can refine microsaccade analysis for improved accuracy and application.
