Abstract
Abstract: Content based image retrieval (CBIR) has become a main research area in multimedia applications. In the literature, there is lot of papers focusing on the content-based image retrieval in order to extract the semantic information within the query concept. The content based image retrieval aims to find the similar images from PDF document against a query image. Generally, the similarity between the representative features of the query image and PDF images is used to rank the images for retrieval. In early days, various hand designed feature descriptors have been investigated based on the visual cues such as color, texture, shape, etc. that represent the images. In this project we have developed a method to extract the images present in PDF documents based on appropriate features extracted from query image such as color and local binary pattern features to find perfect matching image is present in PDF or not. Based on similarity analysis model we will display the query input image is present in PDF documents or not. If query matching image is present in the PDF documents then we will display the list corresponding PDF documents using suitable applications to show the presence.
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