许多图像都包含丰富的文字信息，如用作网页设计的以图像形式存在的标语和视频图像中的字幕。这些文字的自动检测、分割、提取和识别，对图像高层语义内容的自动理解、索引和检索非常有价值，因此引起国内外众多学者的研究兴趣。为使人们对该领域有一个系统的了解，并使该领域研究人员有所借鉴，在对目前国内外图像和视频中文字获取技术相关文献综合理解的基础上，综述了该领域的发展现状，同时从文字检测、抽取和文字识别两个方面，重点讨论了其主要的技术方法及应用优缺点，并结合当前面临的问题，指出今后可进一步研究的方向。

Many images contain abundant text, such as text in banner used for page design on web pages and text in video. If these text occurrences could be detected, segmented, extracted and recognized automatically, they would be a very valuable source of high-level semantics for image indexing and retrieval. So many international researchers pay more and more attention to acquiring text in images and videos. But now national researchers enter into this field. In order to make people know the academic area more systemically and researchers look up references more conveniently, this paper gives an overview of state of the art of text acquirement research in images and videos. Firstly, this paper discusses the current development of the area based on understand and analysis of related recent papers . Then, from the two aspects of text detection and extraction and text recognition, typical techniques and approaches are discussed mostly, as well as their merits and shortcomings, such as techniques and approaches based on edge, texture, color region, machine learning, video multi-frames and OCR. Finally, with the present problems in this area, the paper give some work and open issues that can be researched more in the future.