Detection of Content-Based Image Retrieval Using OCR Tools

In the field of image processing content-based image retrieval is having research scope to retrieve the images which is stored in any location on the network. In the content-based image retrieval system to check images which are deposited on the network based on image attributes like image size, name of the image, shape, and color of the image. This work gives a novel method for system retrieve the image based on the text query given by the user. The scope of the paper also extends the scope to finding the similar combined images containing text and also graphical shapes. In the proposed system we can retrieve the images by using Optical Character Recognition system. The important scope of the proposed methodology is to produce accurate result even in the case of invariance to difficult graphics and background features, text design, and different font size. The approach has been tested for retrieving images of English text based on the provided text. We put forth a brand-new method for creating a content-based picture retrieval system based on locating images with the same textual information within an image.