We propose a hand-held frequency sweeping optical coherence tomography system, which can image microvasculature in human skin. We get the cross-section and en-face images using power intensity differential (PID), speckle variance (SV), and differential standard deviation of log-scale intensity (DSDLI) algorithms, and compare the practical imaging resolutions. The results show that, compared with images reconstructed by PID and SV algorithms, the image reconstructed by DSDLI algorithm is clearer and shows more blood vessels and detailed vascular information.