Research On Detection Of Blood Vessels Technology In Superficial Layer Palm

Human palm blood vessels imaging technology is a new biometric identification technology which is a wide application on information security in network era. Different thickness of a palm will make the imaging quality poor using near-infrared light transmission. Considering the difficulty of obtaining the images of the whole palm blood vessels with transmission or reflection method separately, the biometric identification is hard to perform accurately.This paper proposes a method of obtaining the images of palm blood vessels with multiple exposures in different regions, so the problem of poor quality imaging will be solved. The exponential relationship between illumination intensity and palm thickness is figured out according to the optical model of human palms. Different regions have different thickness in a palm. Firstly, three different intensities of near-infrared region light with the same wavelength of850nm can be used as illumination in the experiment to obtain the palm blood vessels images respectively. Secondly, the images are divided into several parts which are acquired in different illumination conditions. Next, employ the adaptive equalization to enhance the images of palm blood vessels. After that, apply the weighting gradient splicing method to obtain the integrated images of palm blood vessels. This method is of great value in the application area of vein recognition.Finally, some common edge detection methods are introduced. According to the characteristics of the palm blood vessels, we design a matched filter, and then use the algorithm to extract blood vessels from the obtained images. We compare the novel method and other traditional methods to prove our conclusion.