One or more embodiments of the invention provide an image sensitive information desensitization method and device. The desensitization method comprises the steps of obtaining an original image; inputting the original image into a pre-trained target detection algorithm model to obtain an original signboard image; correcting the original signboard image by utilizing perspective transformation to obtain a signboard corrected image; inputting the signboard correction image into a pre-trained machine learning algorithm model to obtain sensitive information; replacing the sensitive information based on a preset replacement rule to obtain a signboard replacement image; processing the signboard replacement image by utilizing inverse transformation of perspective transformation to obtain a signboard replacement image in an original geometrical state; and putting the signboard replacement image in the original geometrical state back to the original image to obtain a desensitized replacement image. By means of the method, desensitization of the sensitive information can be achieved, and secondary recognition can be conducted on the obtained desensitized image.
Image sensitive information desensitization method and device