Human recognition based on oculo-motion characteristics

This paper is devoted largely for building a novel approach for human recognition using eye movement analysis. Velocity and dispersion threshold based fixation identification algorithms are employed for processing the raw scan path signals in oculo-motion matrices. A new hybrid intelligent model is deployed for classification over data retrieved from scan-path signals. Experimental results demonstrate the endeavor of oculo-motion signals as an effective biometric trait. This paper also demonstrates the relative comparison of the two fixation identification techniques combined with hybrid intelligent model.