病例文字识别与提取方法综述

A Review of Case Character Recognition and Extraction Methods

本文首先介绍了文字识别的研究背景,然后介绍了基于深度学习的文字检测常用的网络模型,以及识别技术所用到的网络模型,总结了各网络的优点、缺点。之后介绍了信息提取时所用到的方法,比较了各种方法的优缺点,最后对全文进行了综合分析,并对文字识别与信息提取的未来发展做出了展望。

This paper first introduces the research background of text recognition,then introduces the network model of text detection based on deep learning,and the network model used in recognition technology,and summarizes the advantages and disadvantages of each network.Then it introduces the methods used in information extraction and compares the advantages and disadvantages of various methods.Finally,it makes a comprehensive analysis of the whole paper and makes a prospect for the future development of text recognition and information extraction.