01385nas a2200145   4500008004100000245010800041210006900149260001200218300001000230490000700240520089300247100002901140700002301169856004701192       2021                        eng d00aRetrieving and Processing Images from the Pages of a Historical Newspaper and Modeling the Text Topics-0 aRetrieving and Processing Images from the Pages of a Historical   c06/2021  a41-460 v193 a<p><span style="color: rgb(51, 51, 51); font-family: Arial, Helvetica, sans-serif;">Historical newspapers are a source of research for the human and social sciences. However, these image collections are difficult to read by machine due to the low quality of the print, the lack of standardization of the pages in addition to the low quality photograph of some files. This paper presents the processing model of a topic navigation system in historical newspaper page images. The general procedure consists of four modules which are: segmentation of text sub-images and text extraction, preprocessing and representation, induced topic extraction and representation, and document viewing and retrieval interface. The algorithmic and technological approaches of each module are described and the initial test results about a collection covering a range of 28 years are presented.</span></p>
1 aSá, Gildácio, J. de A.1 aMaia, José, E. B.  uhttp://www.dline.info/download.php?sn=3258