Abstract
We propose a variant of the Ising model, called the seeded Ising model, to model the probabilistic nature of human iris templates. This model is an Ising model in which the values at certain lattice points are held fixed throughout the Ising model evolution. By using this model we show how to reconstruct the full iris template from partial information, and we show that about 1/6 of the given template is needed to recover almost all of the information content of the original in the sense that the resulting Hamming distance is well within the range to assert correctly the identity of the subject. This leads us to propose the concept of the effective statistical degree of freedom of iris templates and show that it is about 1/6 of the total number of bits. In particular, for a template of 2048 bits, its effective statistical degree of freedom is about 342 bits, which coincides very well with the degree of freedom computed by a completely different method proposed by Daugman.
4 More- Received 19 September 2017
DOI:https://doi.org/10.1103/PhysRevE.98.032115
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