An effective recognition method for medical sheet based on deep learning approach

At present, most medical sheet (such as medical report, laboratory sheet, medical cases, etc.) in the form of nonelectronic is easy to lose, and difficult to be integrated with other electronic health data. In order to fully utilize these valuable data, in this paper we propose a deep learning approach, named k-CNN, which can intelligently recognize the contents of medical sheet. The main advantages of k-CNN are summarized as follows: Firstly, the local feature of the character is extracted by the pattern recognition KNN algorithm; Secondly, CNN algorithm is used to extract the deep features of the characters; Finally, based on the tesseract that is an open source recognition engine, the recognition results of KNN and CNN are combined to get the intelligent identification of medical sheet. The experimental results show that k-CNN recognition algorithm can accurately identify the common medical sheets, and the recognition accuracy is better than other traditional algorithms.