Logo Matching for Document Image Retrieval Using SIFT Descriptors
نویسندگان
چکیده
منابع مشابه
Document Retrieval Using SIFT Image Features
This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted series of experiments using cosine distance as our similarity measure, selecting varying numbers local interest points per page, and varying numbers of nearest neighbour points in the similarity calculations. We have found th...
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Image-features matching based on SIFT descriptors is subject to the misplacement of certain matches due to the local nature of the SIFT representations. Some well-known outlier rejectors aim to remove those misplaced matches by imposing geometrical consistency. We present two graph matching approaches (one continuous and one discrete) aimed at the matching of SIFT features in a geometrically co...
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Stellar image matching allows to verify if a given pair of images belongs to the same stellar object/area, or knowing that they correspond to the same sky area, to verify if there are some changes between them due to an stellar event (supernova event, changes in the object position, etc). Some applications are stellar photometry, telescope tracking and pointing, robot telescopes, and sky monito...
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A robust image matching algorithm using a set of selected SIFT descriptors is investigated in this work. We first utilize the colorbased segmentation method and the watershed algorithm to separate foreground and background regions in images and then search the corresponding SIFT descriptors along foreground contours. These selected SIFT descriptors can offer more robust and stable image matchin...
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A method for organizing a database of document images is discussed that is based on image data extracted from the text portion of the documents. This allows for the location of matching documents that may have been reformatted or re-imaged so that they appear significantly different. Each document image is represented by a number of descriptors that are invariant to the geometric distortions of...
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ژورنال
عنوان ژورنال: International Journal of Engineering Research and Applications
سال: 2017
ISSN: 2248-9622,2248-9622
DOI: 10.9790/9622-0702025560