@article{(Open Science Index):https://publications.waset.org/pdf/10000519,
	  title     = {Size-Reduction Strategies for Iris Codes},
	  author    = {Jutta Hämmerle-Uhl and  Georg Penn and  Gerhard Pötzelsberger and  Andreas Uhl},
	  country	= {},
	  institution	= {},
	  abstract     = {Iris codes contain bits with different entropy. This
work investigates different strategies to reduce the size of iris
code templates with the aim of reducing storage requirements and
computational demand in the matching process. Besides simple subsampling
schemes, also a binary multi-resolution representation as
used in the JBIG hierarchical coding mode is assessed. We find that
iris code template size can be reduced significantly while maintaining
recognition accuracy. Besides, we propose a two-stage identification
approach, using small-sized iris code templates in a pre-selection
stage, and full resolution templates for final identification, which
shows promising recognition behaviour.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {1},
	  year      = {2015},
	  pages     = {290 - 293},
	  ee        = {https://publications.waset.org/pdf/10000519},
	  url   	= {https://publications.waset.org/vol/97},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 97, 2015},