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Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. (arXiv:2208.02397v1 [cs.CV])
Aug. 5, 2022, 1:10 a.m. | Caio da S. Dias, Alceu de S. Britto Jr., Jean P. Barddal, Laurent Heutte, Alessandro L. Koerich
cs.LG updates on arXiv.org arxiv.org
This paper presents a deep learning approach for image retrieval and pattern
spotting in digital collections of historical documents. First, a region
proposal algorithm detects object candidates in the document page images. Next,
deep learning models are used for feature extraction, considering two distinct
variants, which provide either real-valued or binary code representations.
Finally, candidate images are ranked by computing the feature similarity with a
given input query. A robust experimental protocol evaluates the proposed
approach considering each representation scheme …
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