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.