@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}, }