Paper Details

Initially the problem faced was that the documents were searched or retrieved on the basis of thetextual annotation which were given to it manually such as meta data that is topic, keyword, date, time which would beeasy for computer to understand it and perform retrieval process over annotations. So to overcome such scenario , imageprocessing & NLP can play an important role so that the desired information can be retrieved from the document itselfrather using the textual annotations and then with help of NLP we can actually match the textual information. Aim of thesystem is to retrieve a particular document from database by passing a keyword as a query to it and by comparing thekeyword with the actual content of the document it should be retrieved. Objective is to extract particular document fromdatabase by comparing its content with keywords which passed as query. To do so we are using image processing andone of the important concept from AI that is Natural Language Processing. Storing paper-based documents convertedinto digital image format image of effective solution to preserve content in document. Searching the Document Imagesstored in a repository by using time as a queries in one of importance tasks of document retrieval.

Prof . Jitendra Musale, Shon Nikam, Akash Deshmukh, Shantanu Gavane, Swapnil Matkar, “Retrieving content based documents by using image processing & NLP through query”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 12, pp. 28-31, December 2020.