An Improved Iris Localization Algorithm Based on Curve Fitting

Yi Huang; Xiao Ping Zeng

doi:10.4028/www.scientific.net/AMM.380-384.1176

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384An Improved Iris Localization Algorithm Based on...

An Improved Iris Localization Algorithm Based on Curve Fitting

Abstract:

Iris localization is to detect outer-and-inner boundaries of iris in an iris image. In the paper, an improved algorithm was proposed to quickly and effectively locate outer-and-inner boundaries. As for this algorithm, the first is to block an iris image and extract its sub-image blocks which cover pupil; the second is to set a binary threshold of pupil by adopting the method of Maximum Variance between Clusters; the third is to get the value outer-boundary-points of iris, on the basis of gray gradient of key Regions-of-interest; the last is to select some characteristic pixels in regions of interest respectively and fit outer-and-inner boundaries of iris according to curve fitting.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1176-1179

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1176

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Online since:

August 2013

Authors:

Yi Huang, Xiao Ping Zeng

Keywords:

Curve Fitting, Iris Localization, Maximum Variance between Clusters

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References

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