GA-based feature selection approach in biometric hand systems

Rafael Marcos Luque Baena, D. Elizondo, Ezequiel López-Rubio, E. Palomo
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引用次数: 12

Abstract

In this paper, a novel methodology for using feature selection in hand biometric systems, based on genetic algorithms and mutual information is presented. A hand segmentation algorithm based on adaptive threshold and active contours is also applied, in order to deal with complex backgrounds and non-homogeneous illumination.
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基于遗传算法的手部生物识别系统特征选择方法
本文提出了一种基于遗传算法和互信息的手部生物识别特征选择方法。针对复杂背景和非均匀光照情况,提出了一种基于自适应阈值和活动轮廓的手部分割算法。
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