A novel method for iris recognition using BP neural network and parallel
  computing by the aid of GPUs (Graphics Processing Units)
Farahnaz Hosseini Hossein Ebrahimpour Samaneh Askari
In this paper, we seek a new method in designing an iris recognition system.
In this method, first the Haar wavelet features are extracted from iris images.
The advantage of using these features is the high-speed extraction, as well as
being unique to each iris. Then the back propagation neural network (BPNN) is
used as a classifier. In this system, the BPNN parallel algorithms and their
implementation on GPUs have been used by the aid of CUDA in order to speed up
the learning process. Finally, the system performance and the speeding outcomes
in a way that this algorithm is done in series are presented.