Abstract
In the recent years, with an increase in the awareness of internet usage, there has been an explosion of data on the web. Huge amount of data resides on the web and of late there has been an increased necessity for search engines that retrieve documents and images, at least close to the search criteria if not exactly. The problem of retrieving near approximate images using textual queries has always been an area of research. This paper focuses on bridging the gap between textual search input given by the user and the images retrieved from the database, by making use of visual features instead of the file name, which is generally the case in many search engines.
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