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Multifocus Image Sequences for Iris Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4319))

Abstract

We report on an iris recognition system using image sequences instead of single still images for recognition. Image sequences captured at different focus levels provides more information than single still images. Most of the current state-of-the-art iris recognition systems use single still images which are highly focused. These systems does not recognize defocused iris images. The experimental results show that defocused iris images can be correctly recognized if we use multifocus image sequences as gallery images for recognition.

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© 2006 Springer-Verlag Berlin Heidelberg

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Son, B., Cha, SH., Lee, Y. (2006). Multifocus Image Sequences for Iris Recognition. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_41

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  • DOI: https://doi.org/10.1007/11949534_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68297-4

  • Online ISBN: 978-3-540-68298-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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