Iris Recognition: J.Daugman¿s Principle
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An efficient IRIS Recognition Algorithm was developed based on J.Daugman's principle. The J.Daugman's algorithm first locates the pupillary and limbic boundaries of the iris using an integrodifferential operator that finds the circle in the image where an intensity is changing most rapidly with respect to changes in the radius. The key parameters include:- most effective and accurate Daugman's algorithm Preprocessing technique Implementation highlights of J. Daugman based algorithm on Iris images Simulation Results display the output of the various simulations that are carried out on Iris Imag...
An efficient IRIS Recognition Algorithm was developed based on J.Daugman's principle. The J.Daugman's algorithm first locates the pupillary and limbic boundaries of the iris using an integrodifferential operator that finds the circle in the image where an intensity is changing most rapidly with respect to changes in the radius. The key parameters include:- most effective and accurate Daugman's algorithm Preprocessing technique Implementation highlights of J. Daugman based algorithm on Iris images Simulation Results display the output of the various simulations that are carried out on Iris Images Conclusions and Future Scope highlights the outcome of the research work.
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