Iris Feature Extraction Algorithm Valuation Based on the Fuzzy Clustering Evaluation Model

Jin Liu; Cang Ming Liu; Lei Zhao

doi:10.4028/www.scientific.net/AMM.513-517.555

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Iris Feature Extraction Algorithm Valuation Based...

Iris Feature Extraction Algorithm Valuation Based on the Fuzzy Clustering Evaluation Model

Abstract:

Iris Feature Extraction Algorithm Evaluation is an important link of evaluation on iris identification system. For the need of optimal feature extraction algorithm according to the identification, this thesis provides a evaluation scheme based on the fuzzy clustering model, and builds a relevant evaluation model, which proves to make a scientific evaluation on the algorithm in the phase of feature extraction.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

555-558

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.555

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Online since:

February 2014

Authors:

Jin Liu*, Cang Ming Liu, Lei Zhao

Keywords:

Affine, Assessment, Feature Extraction, Fuzzy Clustering Model, Iris Identification

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* - Corresponding Author

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