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Informatika i Ee Primeneniya [Informatics and its Applications], 2011, Volume 5, Issue 1, Pages 68–72 (Mi ia9)  
Iris images comparison algorithm based on iris key points

E. Pavelyeva, A. S. Krylov

M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
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Abstract: Iris images comparison algorithm using iris key points is proposed. As the iris key points, the points with the maximal convolution values in the Hermite transform are taken. Only iris regions free of glares, eyelashes, and eyelids are analyzed to increase the effectiveness of the algorithm. The iris rotation angle estimation method is also proposed. The proposed algorithm was tested with the public iris images database CASIA-IrisV3.
Keywords: biometrics; iris recognition; Hermite transform; iris key points.
Document Type: Article
Language: Russian
Citation: E. Pavelyeva, A. S. Krylov, “Iris images comparison algorithm based on iris key points”, Inform. Primen., 5:1 (2011), 68–72
Citation in format AMSBIB
\Bibitem{PavKry11}
\by E.~Pavelyeva, A.~S.~Krylov
\paper Iris images comparison algorithm based on iris key points
\jour Inform. Primen.
\yr 2011
\vol 5
\issue 1
\pages 68--72
\mathnet{http://mi.mathnet.ru/ia9}
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