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Near-infrared image formation and processing for the extraction of hand veins

机译:近红外图像的形成和手静脉的提取处理

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The main objective of this work is to extract the hand vein network using a non-invasive technique in the near-infrared region (NIR). The visualization of the veins is based on a relevant feature of the blood in relation with certain wavelengths of the electromagnetic spectrum. In the present paper, we first introduce the image formation in the NIR spectral band. Then, the acquisition system will be presented as well as the method used for the image processing in order to extract the vein signature. Extractions of this pattern on the finger, on the wrist and on the dorsal hand are achieved after exposing the hand to an optical stimulation by reflection or transmission of light. We present meaningful results of the extracted vein pattern demonstrating the utility of the method for a clinical application like the diagnosis of vein disease, of primitive varicose vein and also for applications in vein biometrics.
机译:这项工作的主要目的是在近红外区域(NIR)中使用非侵入性技术提取手静脉网络。静脉的可视化基于与电磁光谱的某些波长相关的血液的相关特征。在本文中,我们首先介绍了近红外光谱带中的图像形成。然后,将介绍采集系统以及用于图像处理以提取静脉签名的方法。在通过反射或透射光使手受到光刺激后,可以在手指,手腕和背手上提取该图案。我们提出了提取的静脉模式的有意义的结果,证明了该方法在临床应用中的实用性,例如诊断静脉疾病,原始静脉曲张以及在静脉生物特征学中的应用。

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