Eye Movement based Human Recognition using Scan Path Signals
نویسنده
چکیده
This paper is devoted for human recognition using scan path signals in eye movement analysis. Velocity and dispersion threshold based fixation identification algorithms are employed for processing the raw scan path signals in eye movement matrices. A new hybrid intelligent model is deployed for classification over data retrieved from scan-path signals. Experimental results demonstrate the endeavor of eye movement signals as an effective biometric trait. This paper also demonstrates the relative comparison of the two fixation identification techniques combined with hybrid intelligent model. KeywordsEye movement, scan-path, fixation, saccade, hybrid intelligence, biometrics.
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