A novel hierarchical approach for multispectral palmprint recognition
A novel hierarchical approach for multispectral palmprint recognition
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一种新颖的多光谱掌纹识别分层方法
DOI：
10.1016/j.neucom.2014.09.013
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发表时间：
2015-03-03
期刊：
影响因子：
6
通讯作者：
Wang, Guodong
中科院分区：
文献类型：
--
作者：
Hong, Danfeng;Liu, Wanquan;Wang, Guodong
掌纹是一种重要的生物特征，具有唯一性、稳定性和高度可识别性，在过去的几十年里，它的研究引起了人们的广泛关注。虽然许多基于掌纹的识别方法已经被提出并成功地应用于身份认证，但大多数以前的研究通常只使用自然光下捕获的图像。由于使用自然光的限制，很难（如果不是不可能的话）进一步提高基于这些掌纹图像的识别精度。为了获得更高的识别率和更多的判别信息，本文提出了使用多光谱掌纹代替自然光掌纹，并提出了一种基于分层思想的多光谱掌纹识别方法。首先，我们提取块主导方向码（BDOC）作为一个粗略的功能，和基于块的方向梯度直方图（BHOG）作为一个精细的功能。其次，提出了一种基于这两类特征的分层识别方法。在技术上，我们融合了不同波段的不同特征，以提高识别精度。最后，实验结果表明，该方法的识别精度不仅上级以往基于自然光下理大掌纹数据库的高性能方法，而且可以进一步提高基于理大多光谱掌纹数据库的一些方法的性能。(C)© 2014 Elsevier B.V.保留所有权利。
Paimprint is one important biometric feature with uniqueness, stability and high distinguishability, and its study has attracted much attention in the past decades. Although many palmprint-based recognition methods have been proposed and successfully applied for identity authentication, most of the previous researches usually only use the images captured in natural light. It is hard, if not impossible, for further improvement of recognition accuracy based on these palmprint images due to limitations of using the natural light. In order to obtain high recognition rate with more discriminative information, we propose to use multispectral palmprint instead of natural light palmprint in this paper, and develop a multispectral palmprint recognition method based on a hierarchical idea. First, we extract the Block Dominant Orientation Code (BDOC) as a rough feature, and the Block-based Histogram of Oriented Gradient (BHOG) as a fine feature. Second, a hierarchical recognition approach is proposed based on these two types of features. Technically, we fuse different features obtained from different bands in the proposed scheme in order to improve the recognition accuracy. Finally, experimental results show that the recognition accuracy of the proposed method is not only superior to previous high-performance methods based on the PolyU palmprint database with the natural light but also it can further improve the state of the art performance achieved by some approaches based on the PolyU multispectral palmprint database. (C) 2014 Elsevier B.V. All rights reserved.