基于遗传算法的手部生物识别系统特征选择方法

The 2011 International Joint Conference on Neural Networks Pub Date : 2011-10-03 DOI:10.1109/IJCNN.2011.6033228

Rafael Marcos Luque Baena, D. Elizondo, Ezequiel López-Rubio, E. Palomo

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引用次数: 12

摘要

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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GA-based feature selection approach in biometric hand systems

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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The 2011 International Joint Conference on Neural Networks

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