Image correction method and system based on user habits and big data

The invention relates to an image correction method and system based on user habits and big data, and the method comprises the following steps: obtaining a submitted to-be-corrected image, and extracting facial features in the image; performing region segmentation on the extracted facial features, wherein the region segmentation at least segments the facial features into four feature regions; performing face matching on the image according to the feature areas, and obtaining a user whose face image is most matched with the current four feature areas; extracting pre-stored image correction parameters of the user, wherein the image correction parameters comprise feature region adjustment data; wherein the feature region adjustment parameters comprise user uploading parameters; respectively carrying out three-dimensional modeling on the feature regions to generate modeling images; performing data correction on the feature region of the modeling image according to the feature region adjustment data; and integrati