Eyelid Noise Detection Based on Gray-Scale Morphology and Judgement of Noise Occlusion

Su Li; Li Qian; Yu Qian Wang

doi:10.4028/www.scientific.net/AMM.214.780

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 214Eyelid Noise Detection Based on Gray-Scale...

Eyelid Noise Detection Based on Gray-Scale Morphology and Judgement of Noise Occlusion

Abstract:

In iris recognition, eyelid occlusions will reduce the accuracy of iris recognition, an algorithm of eyelid occlusions detection based on Gray-scale Morphology and the judgement of the noise occlusion is proposed in this paper. By judging the projection relation between eyelid and eyelashes, the algorithm in this paper could determine which part need to be detected, instead of detecting all of the eyelid and eyelashes occlusion blindly. So the efficiency of the algorithm is largely improved and in addition, the noise detection method based on gray-scale morphology could perfect fit out the eyelid edge.

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Periodical:

Applied Mechanics and Materials (Volume 214)

Pages:

780-785

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.214.780

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Online since:

November 2012

Authors:

Su Li, Li Qian, Yu Qian Wang

Keywords:

Eyelid Occlusions, Gray-Scale Morphology, Iris Recognition, Noise Occlusions Relation

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References

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