Iris Pattern Recognition with a New Mathematical Model to Its Rotation Detection

  • Krzysztof MisztalEmail author
  • Emil Saeed
  • Jacek Tabor
  • Khalid Saeed


The work deals with the iris pattern recognition as one of the most popular automated biometric ways of individual identification. It is based on the acquired eye images in which we localize the region of interest – the iris. This extremely data-rich biometric identifier is stable throughout human life and well protected as internal part of the eye. Moreover, it is genetic independent, so that we can use it to identify or verify people among huge population. This chapter will present the human vision nature focusing on defects and diseases that change the surface information of the iris. Also will be shown the main stream and the historical background of mathematical research resulting in a new algorithm for automatic iris feature extraction. A special attention is paid to the method developed to detect the iris rotation for accurate success rate under different destructive problems and environmental conditions. The obtained results after using the new mathematical model have proved the algorithm high success rate in iris pattern recognition.


Gabor Filter Iris Image Fourier Descriptor Iris Recognition Spectral Angle Mapper 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was partially supported by AGH University of Science and Technology in Cracow, grant no.


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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Krzysztof Misztal
    • 1
    Email author
  • Emil Saeed
    • 2
  • Jacek Tabor
    • 3
  • Khalid Saeed
    • 4
  1. 1.AGH University of Science and TechnologyKrakówPoland
  2. 2.Medical University in BialystokBialystokPoland
  3. 3.Jagiellonian UniversityKrakówPoland
  4. 4.Faculty of Physics and Applied Computer ScienceAGH University of Science and TechnologyKrakówPoland

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