Xin Yang, Liu Zhi, Zhang Haixia, Zhang Hong
Centre of Information Security, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Appl Opt. 2012 Sep 1;51(25):6252-8. doi: 10.1364/AO.51.006252.
Finger vein verification is a promising biometric pattern for personal identification in terms of security and convenience. The recognition performance of this technology heavily relies on the quality of finger vein images and on the recognition algorithm. To achieve efficient recognition performance, a special finger vein imaging device is developed, and a finger vein recognition method based on sparse representation is proposed. The motivation for the proposed method is that finger vein images exhibit a sparse property. In the proposed system, the regions of interest (ROIs) in the finger vein images are segmented and enhanced. Sparse representation and sparsity preserving projection on ROIs are performed to obtain the features. Finally, the features are measured for recognition. An equal error rate of 0.017% was achieved based on the finger vein image database, which contains images that were captured by using the near-IR imaging device that was developed in this study. The experimental results demonstrate that the proposed method is faster and more robust than previous methods.
手指静脉验证在安全性和便利性方面是一种很有前景的用于个人身份识别的生物特征模式。这项技术的识别性能在很大程度上依赖于手指静脉图像的质量以及识别算法。为了实现高效的识别性能，开发了一种特殊的手指静脉成像设备，并提出了一种基于稀疏表示的手指静脉识别方法。提出该方法的动机是手指静脉图像具有稀疏特性。在所提出的系统中，对手指静脉图像中的感兴趣区域（ROI）进行分割和增强。对ROI进行稀疏表示和稀疏保持投影以获取特征。最后，对特征进行测量以进行识别。基于手指静脉图像数据库实现了0.017%的等错误率，该数据库包含使用本研究开发的近红外成像设备采集的图像。实验结果表明，所提出的方法比以前的方法更快、更稳健。
