Iris biometric authentication based on local global graphs: an FPGA implementation

Authors:
Raghudeep Kannavara;Nikolaos Bourbakis
Affiliations:
Technologies Research Center, Wright State University, Dayton, OH;Technologies Research Center, Wright State University, Dayton, OH
Venue:
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Year:
2009

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Abstract

In this work, we present a Local-Global (LG) graph methodology for iris based biometric authentication. Local-Global (LG) graph method adds local part information into a global graph. Local graphs of the pre-processed iris images are first calculated by feature extraction and combined to form a Global graph that is stored in a database for the purpose of authentication. The Global graph of the presented test image is compared with the Global graph of the stored reference image and based on a distance metric, the authenticity of the subject is established.