Abstract
This work presents a technique for finding if a same image is present in the database of PDF files. The objective of content-based document image retrieval is achieved by comparing a query image with the images from the PDF documents to check if similar image is present in the searched PDF documents. Typically, the ranking of the photos for retrieval is based on how closely the representative features of the query image and PDF images show similarity. The features such as texture features and Scale Invariant Feature Transform (SIFT) features, are extracted from the images of the pdf documents as well as from query image to determine whether the query images present in the PDF file or not. If the image from searched PDF matches with the query image, the result displays the searched PDF.
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Shah, H.B., Joglekar, J.V. (2023). Content Based Document Image Retrieval Using Computer Vision and AI Techniques. In: Choudrie, J., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT for Intelligent Systems. ICTIS 2023. Smart Innovation, Systems and Technologies, vol 361. Springer, Singapore. https://doi.org/10.1007/978-981-99-3982-4_19
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DOI: https://doi.org/10.1007/978-981-99-3982-4_19
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