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This paper proposes an iris recognition method based on selected optimal features and statistical learning. To better represent the variation details in irises, ...
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Abstract. Iris recognition is a prospering biometric method, but some technical difficulties still exist. This paper proposes an iris recognition method ...
This paper proposes an iris recognition method based on selected optimal features and statistical learning. To better represent the variation details in irises, ...
Apr 8, 2019 · Indeed, the selection of optimal feature subsets has become a crucial issue in the field of iris recognition. To improve feature extraction ...
This paper proposes an iris recognition method based on selected optimal features and statistical learning. ... Optimal Features Subset Selection and ...
We propose a feature selection scheme based on the multiobjectives genetic algorithm (MOGA) to improve the recognition accuracy and asymmetrical support vector ...
Sep 16, 2022 · In this article, we present a novel algorithm for iris recognition that includes in addition to iris features extraction and coding the step of feature ...
In this paper, we propose three discriminative feature selection strategies and weighted subregion matching method to improve the performance of iris ...
We propose a feature selection scheme based on the multiobjectives genetic algorithm (MOGA) to improve the recognition accuracy and asymmetrical support vector ...
Abstract—The calculation of binary iris codes from feature values (e.g. the result of Gabor transform) is a key step in iris recognition systems.