Abstract : This paper provides a simple algorithm for writer identification of historical letters. The collected database is an original historical database, of 100 pages belonging to 25 people selected from a 500 letters database. In the article there is presented an article for a cauterization of the letters, because the system doesn't have the templates of the classes and doesn't know how many classes is in the database. The obtained result shows that automatic identification can help historical experts to segregate the documents, before they would analyze the text information.
Type de document :
Communication dans un congrès
17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges
https://hal.univ-antilles.fr/hal-01165915
Contributeur : Philippe Simon
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Soumis le : samedi 20 juin 2015 - 19:45:37
Dernière modification le : lundi 22 juin 2015 - 14:02:42
Document(s) archivé(s) le : mardi 15 septembre 2015 - 20:01:56
Joanna Putz-Leszczynska. Writer identification – clustering letters with unknown authors. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges. 〈hal-01165915〉
