期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：2
页码：103
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The text data present in images and video contain certain useful information for automatic annotation,indexing, and structuring of images. 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 ofautomatic text extraction extremely difficult and challenging job. A large number of techniques have beenproposed to address this problem and the purpose of this paper is to design algorithms for each phase ofextracting text from a video using java libraries and classes. Here first we frame the input video intostream of images using the Java Media Framework (JMF) with the input being a real time or a videofrom the database. Then we apply pre processing algorithms to convert the image to gray scale andremove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal.Then we continue with the algorithms for localization, segmentation and recognition for which we use theneural network pattern matching technique. The performance of our approach is demonstrated bypresenting experimental results for a set of static images.
关键词：JMF; Image Processing; Text Extraction; Text Localisation; Segmentation; Text in Video
