Abstract
Because iris recognition uses the unique patterns of the human iris, it is essential to acquire the iris images at high quality for accurate recognition. Defocusing reduces the quality of the iris image and the performance of iris recognition, consequently. In order to acquire a focused iris image at high quality, an iris recognition camera must control the focal length of the moving lens. However, that causes the cost and size of iris camera to be increased and that needs complicated auto-focusing algorithm, also. To overcome such problems, we propose new method of iris image restoration. Experimental results show that the total recognition time is reduced as much as 390ms on average with the proposed restoration algorithm.
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Kang, B.J., Park, K.R. (2005). A Study on Iris Image Restoration. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_4
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DOI: https://doi.org/10.1007/11527923_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
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