In the three-dimensional depth reconstruction of the scene based on light field photography, it is necessary to calibrate the geometric parameters of light field cameras. In this paper, a calibration method of focused light field cameras is proposed based on Jiangsu raw light field images. The raw light field images of a calibration board with different orientations are captured. According to the conjugation relationship between image points and virtual image points (conjugation points of image points for the microlens), the coordinates of the virtual image points are calculated. The calibration model of focused light field cameras is established according to the conjugation relationship between the corner points on the calibration board and the virtual image points. The model is then solved by Levenberg-Marquardt algorithm. Calibration experiments are carried out. The accuracy of the proposed method is compared to that of the calibration method based on the total focused images. Experimental results show that the error between the virtual image points obtained from raw light field images and those (conjugation points of corner points for mainlens) from total focused images is less than 21 pixels. The relative calibration errors of the corner points are less than 3%. The calibrated configuration parameters and external parameters from raw light field images are in good consistence with those from total focused images. The proposed method is proved to be effective calibrating the focused light field cameras.