Discriminative and Robust Competitive Code for Palmprint Recognition
Discriminative and Robust Competitive Code for Palmprint Recognition
复制标题
DOI：
10.1109/tsmc.2016.2597291
复制
发表时间：
2018-02
期刊：
影响因子：
--
通讯作者：
Yong Xu;Lunke Fei;Jie Wen;D. Zhang
中科院分区：
文献类型：
--
作者：
Yong Xu;Lunke Fei;Jie Wen;D. Zhang
基于掌纹方向特征的掌纹识别方法已被提出。其中，利用掌纹图像主方向的竞争编码方法在掌纹识别中取得了较好的效果。在本文中，我们提出了一个歧视性和鲁棒的竞争代码为基础的方法，它使用一个更准确的主导方向表示的掌纹图像的掌纹认证。此外，我们建议加权的邻近区域的方向信息，以提高精度和稳定性的歧视性和强大的主导方向码。在三种类型的掌纹数据库和一个噪声数据集上的实验验证了该方法的有效性。
Various palmprint recognition methods have been proposed based on orientation features of palmprints. Among them, the competitive code method using the dominant orientation of palmprint images achieves promising performance in palmprint recognition. In this paper, we propose a discriminative and robust competitive code based method, which uses a more accurate dominant orientation representation of palmprint images for palmprint authentication. Moreover, we propose to weight the orientation information of a neighbor area to improve the precision and stability of the discriminative and robust dominant orientation code. Experiments performed on three types of palmprint databases and a noisy dataset validate the effectiveness of the proposed method.