The Technology to Acquire Text in Image and Vedio
图像和视频中的文字获取技术

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.