Iris Template Extraction Via Bit Inconsistency and GRIT
Bit fragility; Bit inconsistency; Fragile bits
The characteristic of iris code bits values being inconsistent (also referred to as fragile) across different images of the same iris was explored by Hollingsworth et al. . The notion of fragile bits was first suggested by Bolle et al.  when it was observed that the empirical false reject rate (FRR) was significantly better than predicted by their theoretical model. This fact implied that the bits of an iris code are not equally susceptible to “flip”, given different environmental conditions that affect the quality of the captured iris images. Hollingsworth et al. demonstrated that by eliminating (masking) inconsistent bits, one could dramatically improve the FRR of an iris template.
Although the work of Hollingsworth et al. improves the FRR by identifying and removing fragile bits, our preliminary results show that it may be possible, based on bit instability, to further reduce the number of iris code bits...
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