Palm vein recognition (PVR) refers to the contactless biometric identification method that uses palm vein patterns to confirm the identity of a person. Compared with other methods, PVR has received a wide attention because it provides more secure results. The veins, being located inside the human body, make PVR robust against tempering and changes in morphology of body features. Most PVR systems integrate four stages: image acquisition, pre-processing, feature extraction, and decision. The first two stages determine accuracy of the final identification results. Focusing on the pre-processing component, we discovered that the available approaches fail to generate more informative vein patterns by simultaneously suppressing noise and blur, and also by recovering semantically useful features (edges, contours, and lines) from the acquired images. This weakness calls for sophisticated acquisition devices that make PVR systems costly. In this work, we have proposed multiframe super-resolution (MSR) as a pre-processing stage to improve performance of the traditional PVR systems. MSR exploits information from multiple images of the same scene to reconstruct a high-resolution image. This technique signals the possibility of using inexpensive low-resolution imaging devices demanded by the traditional PVR systems. Experiments show that our method outperforms most classical methods.

中文翻译：

---

基于多帧超分辨率算法的高性价比精确掌静脉识别系统

掌静脉识别（PVR）是指使用掌静脉模式来确认一个人身份的非接触式生物识别方法。与其他方法相比，PVR提供了更安全的结果，因此受到了广泛的关注。位于人体内部的静脉使PVR能够抵抗脾气和身体形态变化。大多数PVR系统集成四个阶段：图像获取，预处理，特征提取和决策。前两个阶段确定最终识别结果的准确性。着眼于预处理组件，我们发现可用的方法无法通过同时抑制噪声和模糊以及从所获取的图像中恢复语义上有用的特征（边缘，轮廓和线条）来生成更多的信息静脉图案。这种弱点要求使用复杂的采集设备，从而使PVR系统变得昂贵。在这项工作中，我们提出了多帧超分辨率（MSR）作为预处理阶段，以提高传统PVR系统的性能。MSR利用来自同一场景的多个图像的信息来重建高分辨率图像。该技术表明使用传统PVR系统所需的廉价低分辨率成像设备的可能性。实验表明，我们的方法优于大多数经典方法。MSR利用来自同一场景的多个图像的信息来重建高分辨率图像。该技术表明使用传统PVR系统所需的廉价低分辨率成像设备的可能性。实验表明，我们的方法优于大多数经典方法。MSR利用来自同一场景的多个图像的信息来重建高分辨率图像。该技术表明使用传统PVR系统所需的廉价低分辨率成像设备的可能性。实验表明，我们的方法优于大多数经典方法。