Biomedical Signal Analysis Laboratory  
 
     
       
   
Non-Ideal Iris Recognition Imagery
 
Lawrence Hornak, Chris Boyce, Aditya Abhyankar, Stephanie Schuckers
 
As iris recognition emerges as one of the most secure and reliable biometric traits, it becomes increasingly important to not be constrained when imaging the iris. Current biometric iris identification systems require the subject, who is being photographed, to present their iris in a frontal and extremely confined position and environment. This consumes much time and effort from the subject. Through the analysis of unconstrained, being of a different angle/position and possibly in motion, non-ideal image acquisition iris identification will become must faster and possibly the dominate biometric trait.
 
 
 
Research Topics
 
Non-Ideal Iris Recognition Imagery
 
Development of a web-based, multibiometric database
 
Biologically Inspired Temporal Evolutionary Neural Circuits
         
    Director: Dr. Stephanie Schuckers    Clarkson University    West Virginia University

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