Video Text extraction and recognition: A survey

Abstract

A means to naturally recognizing and fetching out the content of video description would possibly make them indexed in considerable and appropriate way for later reference, and would facilitate actions viz. automatic notification and dissemination, to be triggered in real time by the contents of streaming video. Video text recognition, or video OCR, is a constructive tool to characterize the contents of video containing overlay text (text captions superimposed over the video imagery, such as in broadcast news programs) and scene text (text that appears in the real scene of the video, such as text on street signs, nameplates, and billboards). In this paper exhaustive survey is done for text detecting, extraction and recognizing in complex images and video frames. Digital Videos are widely used both professionally and domestically because of the easy availability of camcorders to mobile phones. People are increasingly making videos may be for commercial use or personal use, this is leading to growing content of Video. While we can capture, compress, store, transmit and display video with great facility, editing videos and manipulating them based on their content is still a non-trivial activity. This paper concentrates on extracting text out of the video frames, taken out of the video.