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Infrared Imaging System for Analysis of Blood Vessel Structure

机译:用于血管结构分析的红外成像系统

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Blood vessel imaging and analysis are important tasks for medical and biometric purposes. From the medical point of view human blood vessels give information about health and possible disease or stroke, hence it is important to develop a precise image acquisition system and image processing algorithms. Blood vessel structures can also be used for person identification, for example, palm vein pattern recognition that has become popular in recent years [2]. Human palm veins have a complicated vessel pattern, and are unique among every person. Therefore, it gives a good opportunity to use them for biometric purposes. Two methods of blood vessel image acquisition in near infrared light will be discussed in this paper. The quality of images acquired by each method will be evaluated to determine the best of the methods used.
机译:血管成像和分析是医疗和生物识别目的的重要任务。从医学的角度来看,人体血管会提供有关健康以及可能的疾病或中风的信息,因此开发精确的图像采集系统和图像处理算法非常重要。血管结构也可以用于人员识别,例如,近年来流行的手掌静脉图案识别[2]。人的掌静脉具有复杂的血管图案,并且在每个人中都是唯一的。因此,这为将其用于生物识别目的提供了一个很好的机会。本文将讨论两种在近红外光下采集血管图像的方法。将评估通过每种方法获取的图像质量,以确定所用方法中的最佳方法。

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