Illustrations Segmentation in Digitized Documents Using Local Correlation Features
Abstract: In this paper we propose an approach for Document Layout Analysis based on local correlation features. We identify and extract illustrations in digitized documents by learning the discriminative patterns of textual and pictorial regions. The proposal has been demonstrated to be effective on historical datasets and to outperform the state-of-the-art in presence of challenging documents with a large variety of pictorial elements.
Citation:
Coppi, Dalia; Grana, Costantino; Cucchiara, Rita "Illustrations Segmentation in Digitized Documents Using Local Correlation Features" Proceedings of the 10th Italian Research Conference on Digital Libraries, PROCEDIA COMPUTER SCIENCE, vol. 38, Padova, pp. 76 -83 , Jan. 30-31, 2014 DOI: 10.1016/j.procs.2014.10.014
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- DOI: 10.1016/j.procs.2014.10.014