A hand-held sweep source optical coherence tomography (SSOCT) system was used to image three areas on human hands, including nail, fingertip, and palm. The imaging area size is 3 mm×3 mm. The index compensation algorism was used to reconstruct blood information en face images at different depths. The changes in both the blood vessel perfusion density (PD) and blood vessel diameter(VD) with the imaging depth were then calculated to reveal the characteristics of the microvasculature of human hand. The experimental results showed that in the above three imaging positions, as the imaging depth increases, the blood vessel PD and blood VD both increase, and contains more information about the blood flow. At the same time, the en face image clarity decreases with the increase of the depth. It was also observed that the microvascular at palm are the densest one, and the blood flow information is more abundant, which is more suitable as an imaging site for the diagnosis of microcirculation diseases. The layered projection results showed that when the imaging depth of the area above the nail is relatively shallow (220~660 μm), the blood vessel PD is significantly smaller than the other two imaging sites, indicating that the blood flow information is not abundant in this range. In this work, we measure the geometric characteristics of hand blood flow that varies with depth, and verify the feasibility of applying OCT technology to the diagnosis of subcutaneous microcirculation in the hand. In the early stages of microcirculation disease, microvascular changes have already occurred. Therefore detection of microvascular changes has clinical significance in early diagnosis of the disease.