Text Image Extraction and Summarization

with the huge amount of increase in data thesedays data processing has become very important. It filtersa large amount of data. The text mining tool finds relationbetween the words in text content and analyzes the resultsas well. Deriving quality information from text forms thecrux of data analysis or text mining. This paper focuses ona text mining application. Text information present inimages is recognized and is summarized according torequirement, i.e. number of lines that text needs tosummarize is dependent on user. Text mining thus is usedto save time of the user, increase the data efficiency. It isused to make computation on data that a human woulddefinitely fail to do, that is for analytics of large volumes ofdata. Hence text image extraction and summarization is anecessity in the current scenario. If the efficiency of theproposed model is optimized, this model of Text ImageExtraction and Summarization can be very beneficial. Itcan used as a ready to go , click image and get summaryapplication in a variety of situations. In this proposedmodel, even the number of lines the content has to bespecified, thus ensuring that the extent of summarization iscompletely user controlled