Text extraction from video sequences finds many useful applications in document processing and parts identification in industrial automation. Text extraction may employ binarization or directly process the original video. In the conventional method, gray binarization processing with a given threshold is employed to extract high intensity video character regions. A video has a complex background with various kinds of intensity so that appropriate thresholds are not always obtained. The proposed method describes the flow of character segmentation from the video in order to make a readable video for optical character recognition. The main objective of this method is to reduce the number of false character regions that may be fed to optical character reader. Incorporating an optical character reader algorithm with the proposed method yields a useful system for text analysis in videos.
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There are some questions right here. 1-what is the type of the video, imean the format 2-which language you wanna recognation 3-what about the text, is it fixed , or moved,waved,blur....etc