Keyword-guided word spotting in historical printed documents using synthetic data and user feedback |
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| Authors: | T. Konidaris B. Gatos K. Ntzios I. Pratikakis S. Theodoridis S. J. Perantonis |
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| Affiliation: | (1) Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece;(2) Department of Informatics and Telecommunications, National & Kapodistrian University of Athens, Athens, Greece |
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| Abstract: | In this paper, we propose a novel technique for word spotting in historical printed documents combining synthetic data and user feedback. Our aim is to search for keywords typed by the user in a large collection of digitized printed historical documents. The proposed method consists of the following stages: (1) creation of synthetic image words; (2) word segmentation using dynamic parameters; (3) efficient feature extraction for each word image and (4) a retrieval procedure that is optimized by user feedback. Experimental results prove the efficiency of the proposed approach. |
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| Keywords: | Historical document indexing Word spotting User feedback |
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