The paper studies on the post-processing technology of recognition and correction technology of medical text image characters. By building the common medical lexicon, it checks and corrects spelling of the recognized text on the basis of the Hog feature of Chinese character images and word similarity between correlation coefficient calculation characters, so as to enhance the accuracy rate of character recognition.