抽象的

A Novel Based Text Extraction, Recognition from Digital E-Videos

Ms.Suwarna Baheti, Prof.Kalpana S.Thakre

This paper represents text extracting information (represented by data) from a sequence of images (video) is the main objective of Video segmentation. In order to extract and search important information from a huge amount of video data, we are focusing on extraction of texts from video. However variations of the text due to differences in text style, font, size, orientation, alignment as well as low image contrast and complex background make the problem of automatic text extraction extremely difficult and challenging job. A large number of techniques have been proposed to address this problem and the purpose of this paper is to design algorithms for each phase of extracting text from a video using java libraries and classes. Here first we frame the input video into stream of images using the Java Media Framework (JMF) with the input being a real time or a video from the database and considering the connected component analysis form. We apply preprocessing algorithms to convert the shot-frame to gray scale and remove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal. Then we continue with the algorithms for localization, segmentation, tracking and recognition.