Table correction and recognition method based on combination of image processing and deep learning

The invention relates to the technical field of image processing and image recognition, in particular to a table correction and recognition method based on combination of image processing and deep learning, which comprises the following steps: step 110, acquiring original image data of a table; step 120, image preprocessing; step 130, positioning a character area; 140, reconstructing table information; by designing and improving the existing form recognition method, the accuracy of form recognition is improved by performing text direction judgment, inclination correction and perspective distortion processing when the form image is recognized, and the problem that the form recognition accuracy is low after the form image is obtained by using equipment in the existing method for recognizingthe form in the image is solved. The table row and column frame line positions are detected by analyzing the optical characteristics of the whole-page digital image so as to detect the format structure of the table, and the m