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.