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Iris matching by crypts and anti-crypts

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2 Author(s)
Feng Shen ; Department of Computer Science and Engineering, University of Notre Dame, IN46556, U.S.A ; Patrick J. Flynn

Iris recognition is one of the most reliable biometric technologies for identity recognition and verification. Most iris recognition methods represent the iris texture using the output of band-pass filters, and compare irises by matching the filter outputs. In this paper we explore iris recognition based on two visible features, crypts and anti-crypts. The experiments demonstrate that crypts and anti-crypts are stable, consistent, and have good discriminatory ability over different eyes. The visible feature-based iris representation and matching are easily recognizable to human eyes and have the potential to be used in in the field of forensics.

Published in:

Homeland Security (HST), 2012 IEEE Conference on Technologies for

Date of Conference:

13-15 Nov. 2012