Colour feature selection for an unconstrained iris recognition system
Colour feature selection for an unconstrained iris recognition system
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Date
2012
Authors
Samaneh Khoshrou
Ana Filipa Sequeira
Jaime Cardoso
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Abstract
We consider the problem of fusing colour information
to enhance the performance of an iris authentication
system. The discriminatory information potential of a vast range
of colour channels is investigated. The verification process is
based on open-source implementation made by Libor Masek.
A sequential search approach was used which is similar to the
'plus L and take away R' algorithm that is applied in order to
find an optimum subset of the colour spaces. The colour based
classifiers are combined using the SVM classifier to find optimum
colour features. We show that by fusing colour information
using the proposed method, the resulting decision making scheme
considerably outperforms the intensity based verification system.