Hand writing erasing method based on deep learning

The invention discloses a handwriting erasing method based on deep learning. According to the method, handwriting erasing is carried out on a document image, a convolutional neural network model is used, details of printed characters and background images are reserved, meanwhile, a handwriting region is recognized, and appropriate pixel values are automatically filled. Wherein the convolutional neural network model introduces jump connection, network shallow layer features and deep semantic information are combined, and the image detail generation effect is enhanced; a deformable convolution method is adopted, so that the network adaptively adjusts the convolution sampling position, and the erasing effect of handwritten writings with different shapes and sizes is improved; through an attention mechanism, a network is guided to pay attention to feature extraction of a handwriting region, the capability of distinguishing handwriting and printing content is improved, and the influence of a complex background on