Half-orientation extraction of palmprint features
Half-orientation extraction of palmprint features
复制标题
掌纹特征的半方向提取
DOI：
10.1016/j.patrec.2015.10.003
复制
发表时间：
2016-01-01
影响因子：
5.1
通讯作者：
Zhang, David
中科院分区：
文献类型：
--
作者：
Fei, Lunke;Xu, Yong;Zhang, David
掌纹识别方法中通常使用掌纹的方向特征。传统的基于方向的方法总是基于这样的假设，即掌纹中的线条是直的，并且只具有单一的主导方向。然而，掌纹中有大量的“线”是曲线。这些曲线上的点通常有两个主要方向。此外，可以看到，掌纹上有许多交叉皱纹。任何两条交叉皱纹的交叉点明显有两个不同的主导方向。本文提出了一种简单有效的基于双半方向的掌纹特征提取与识别方法。在该方法中，定义了一组用于半方向提取的半Gabor滤波器组。与单一主方向相比，双半方向能够更准确地刻画掌纹的全局方向特征。在三种不同的掌纹数据库上进行了大量的实验，结果表明，该方法在掌纹验证和识别方面都取得了良好的性能，并且优于其他基于方向特征的方法。(C)2015爱思唯尔B.V.保留所有权利。
Orientation features of the palmprint are usually used in palmprint recognition methods. Conventional orientation based methods are always based on an assumption that the line in a palmprint is straight and possesses only a single dominant orientation. However, a large number of "lines" in a palmprint are curves. The point in these curves usually has two dominant orientations. Moreover, it can be seen that there are numerous cross wrinkles in a palmprint. The cross point of any two cross wrinkles obviously has two different dominant orientations. In this paper, we proposed a simple and effective double half-orientation based method for feature extraction and recognition of the palmprint. In the method, a bank of "half-Gabor" filters are defined for the half-orientation extraction of a palinprint. Compared with the single dominant orientation, the double half-orientations can more precisely characterize the global orientation feature of a pahnprint. Extensive experiments are carried out on three different kinds of palm print databases and the results show that the proposed method achieves a promising performance in both pahnprint verification and identification and outperforms other orientation feature based methods. (C) 2015 Elsevier B.V. All rights reserved.