Particular Words Mining and Article Spotting in Old French Gazettes
Résumé
This paper describes a method to extract particular words
from a printed journal of the eighteenth century and then to retrieve
those words in other journals of the same historical period. After ex-
tracting the words in the Gazette de Leyde dataset, we link them to
the pages of contemporary revues facilitating the Humanists' work. We
present two original methods: one to detect the typographic style of
the words and the other to retrieve words in old document images. As
the characters segmentation is not trivial for those documents we detect
Italic style by analysing the vertical projection of the word image. The
word retrieval method is realized by extracting zones of interest from the
query images and try to map it in the searching documents.