Abstract
We present an iris identification approach based on wavelet-packet binary coding. This latter is carried out by coding the 64 wavelet-packet energies to generate a compact signature (iris code), quantizing these energies into one bit according to an adapted threshold. Experimental results, using CASIA database, are presented demonstrating significant improvements in iris verification accuracy. ©2008 IEEE.
Cite
CITATION STYLE
Benhammadi, F., & Kihal, N. (2008). Personal authentication based on iris texture analysis. In AICCSA 08 - 6th IEEE/ACS International Conference on Computer Systems and Applications (pp. 537–543). https://doi.org/10.1109/AICCSA.2008.4493584
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