Ordinal Feature Selection for Iris and Palmprint Recognition
Ordinal Feature Selection for Iris and Palmprint Recognition
复制标题
虹膜和掌纹识别的顺序特征选择
DOI：
10.1109/tip.2014.2332396
复制
发表时间：
2014-07
影响因子：
10.6
通讯作者：
Tieniu Tan
中科院分区：
文献类型：
--
作者：
Zhenan Sun;Libin Wang;Tieniu Tan
Ordinal measures have been demonstrated as an effective feature representation model for iris and palmprint recognition. However, ordinal measures are a general concept of image analysis and numerous variants with different parameter settings, such as location, scale, orientation, and so on, can be derived to construct a huge feature space. This paper proposes a novel optimization formulation for ordinal feature selection with successful applications to both iris and palmprint recognition. The objective function of the proposed feature selection method has two parts, i.e., misclassification error of intra and interclass matching samples and weighted sparsity of ordinal feature descriptors. Therefore, the feature selection aims to achieve an accurate and sparse representation of ordinal measures. And, the optimization subjects to a number of linear inequality constraints, which require that all intra and interclass matching pairs are well separated with a large margin. Ordinal feature selection is formulated as a linear programming (LP) problem so that a solution can be efficiently obtained even on a large-scale feature pool and training database. Extensive experimental results demonstrate that the proposed LP formulation is advantageous over existing feature selection methods, such as mRMR, ReliefF, Boosting, and Lasso for biometric recognition, reporting state-of-the-art accuracy on CASIA and PolyU databases.
登录
查看更多内容
DOI：
--
发表时间：
2001-06
期刊：
--
影响因子：
--
作者：
Sanmay Das
通讯作者：
Sanmay Das
DOI：
10.1109/tip.83
发表时间：
2004
期刊：
--
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1109/cvpr.2003.1211374
发表时间：
2003-06
期刊：
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
影响因子：
--
作者：
G. Guo;C. Dyer
通讯作者：
G. Guo;C. Dyer
影响因子：
10.6
作者：
Augusto Destrero;C. D. Mol;F. Odone;A. Verri
通讯作者：
Augusto Destrero;C. D. Mol;F. Odone;A. Verri
影响因子：
3
作者：
Daubechies, I;Defrise, M;De Mol, C
通讯作者：
De Mol, C