Title
Human recognition based on oculo-motion characteristics
Abstract
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 oculomotion signals as an effective biometric trait. This paper also demonstrates the relative comparison of the two fixation identification techniques combined with hybrid intelligent model.
Year
DOI
Venue
2013
10.1109/AFRCON.2013.6757664
AFRICON, 2013
Keywords
DocType
ISSN
Oculo-motion,scan-path,fixation,saccade,hybrid intelligence,biometrics
Conference
2153-0025
Citations 
PageRank 
References 
1
0.35
5
Authors
3
Name
Order
Citations
PageRank
Bipin K. Tripathi1194.08
Vivek Srivastava2878.66
Vinay K. Pathak3295.20