Iris recognition using minimum average correlation energy and principal component

Biometric systems have great importance in modern society. Today, we can find biometric systems using hardware technologies to provide an increasingly fast response. Partly this is possible due to the use of algorithms of digital signal processing which are used in these systems, such as the correlation filters. In this paper, we explore a change in correlation filters, using the principal component analysis, to provide robustness to the filters. Finally, the experiments demonstrate that the modification provides good results for a biometric recognition system human iris.