caa a22 4500 445379723 CHVBK 20180317143013.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10032-010-0146-0 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0146-0 Marinai Simone Dipartimento di Sistemi e Informatica, Università di Firenze, Firenze, Italy aut Text retrieval from early printed books [Elektronische Daten] [Simone Marinai] Retrieving text from early printed books is particularly difficult because in these documents, the words are very close one to the other and, similarly to medieval manuscripts, there is a large use of ligatures and abbreviations. To address these problems, we propose a word indexing and retrieval technique that does not require word segmentation and is tolerant to errors in character segmentation. Two main principles characterize the approach. First, characters are identified in the pages and clustered with self-organizing map (SOM). During the retrieval, the similarity of characters is estimated considering the proximity of cluster centroids in the SOM space, rather than directly comparing the character images. Second, query words are matched with the indexed sequence of characters by means of a dynamic time warping (DTW)-based approach. The proposed technique integrates the SOM similarity and the information about the width of characters in the string matching process. The best path in the DTW array is identified considering the widths of matching words with respect to the query so as to deal with broken or touching symbols. The proposed method is tested on four copies of the Gutenberg Bibles. Springer-Verlag, 2010 Early printed books nationallicence Dynamic Time Warping nationallicence Self-Organizing Map nationallicence International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 117-129 1433-2833 14:2<117 2011 14 10032 https://doi.org/10.1007/s10032-010-0146-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0146-0 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Marinai Simone Dipartimento di Sistemi e Informatica, Università di Firenze, Firenze, Italy aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 117-129 1433-2833 14:2<117 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer