Laser printed documents, as key materials in daily office work, academic research, and legal notarization, have a direct impact on the accuracy and availability of digital information due to the quality of their scanned images. In the actual document scanning process, various factors can easily lead to skewed scanning images. Therefore, this paper studies the adaptive correction technology for skewness in laser printed document scanning images. Using the imaging theory of laser printing scanning technology, describe the pixel conversion relationship of document images during the scanning process; Divide tilt types based on pixel conversion relationships, use radial distortion vectors as correction targets, and establish a correction model under the influence of nonlinear relationships; After correcting the model to obtain the radial distortion parameters of the image, the Newton algorithm is used to solve the parameters and achieve adaptive correction of laser printed document scanning images. The results showed that using 6 types of oblique deformation scanning images as the test benchmark set, after correction by the studied method, the images had a high similarity with the real document, and local deformation was significantly improved.