During the propagation process of video images , information distortion may occur , resulting in geomet- ric distortion of the image. Therefore , a video image geometric distortion correction method based on fiber optic sensors is proposed. Analyze the distribution of pixel nodes in the photosensitive area of the video image , extract sub pixel dis- parity information , and obtain distorted video images through an array CCD image sensor; Using a distortion curve ap- proximation model to calculate the distortion rate of video images , determine the coordinates of the distorted images , and combine bilinear grayscale interpolation algorithm to derive correction parameters to achieve geometric distortion correction of video images. The experimental results show that the proposed method can effectively correct geometric distortions of different types of video images. The similarity between the corrected image and the original image exceeds 0. 97 , and the degree of image edge blur is reduced , improving the visual observation effect of the image.