自然场景图像中的文本检测综述

本文对自然场景文本检测问题及其方法的研究进展进行了综述.首先，论述了自然场景文本的特点、自然场景文本检测技术的研究背景、现状以及主要技术路线.其次，从传统文本检测以及深度学习文本检测的视角出发，梳理、分析并比较了各类自然场景文本检测方法的优缺点，并介绍了端对端文本识别技术.再次，论述了自然场景文本检测技术所面临的挑战，探讨了相应的解决方案.最后，本文列举了测试基准数据集、评估方法，将最具代表性的自然场景文本检测方法的性能进行了比较，本文还展望了本领域的发展趋势.

Text Detection in Natural Scene Image: A Survey

In this paper, the research progress of natural scene text detection problems and methods are reviewed. Firstly, the characteristics of natural scene text are introduced, and the text detection technology research background, status and the main technical route are illustrated respectively. Secondly, from the perspective of traditional text detection and deep learning text detection, the merits and demerits of various methods are analyzed, and the technology of end-to-end text recognition is introduced. Then, the challenges of the natural scene text detection technology and the corresponding solutions are discussed. Finally, the benchmark datasets are enumerated, the evaluation methods and the performances of the most representative approaches are fundamentally compared. Furthermore, potential application and development trend in this field are summarized.