Éditeur(s) : Commission Culture du pôle Guadeloupe
Description : Echange intéressant avec le public sur les thématique de la musique, du hip-hop, de l'africanité, la fonction du Gwoka dans la musique actuelle ...
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V14210
V14210

Éditeur(s) : HAL CCSD
Résumé : International audience
Signatures are one of the most accessible and prevailed ways of authenticating documents.Over the last many years, a large number of signature verication systems have been reported. Acommon assumption in nearly all of these system is that the signatures are available readily extractedfrom documents. In this paper we provide a detailed literature survey on the subject and arguethat pre-extracted signatures are not always available especially in forensic cases. Furthermore, wepresent a novel system of automatically extracting signatures from documents with the help ofhyper-spectral imaging. Initial experiments reveal that the proposed idea possess great potential toform a baseline signature extraction system above whom any signature verication system can beadjuncted for signature verication.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165888
https://hal.univ-antilles.fr/hal-01165888
https://hal.univ-antilles.fr/hal-01165888/document
https://hal.univ-antilles.fr/hal-01165888/file/IGS_2015_submission_18.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper addresses the problem of word spotting in handwritten documents. The method is segmentation-free and follows the query-by-string paradigm. In the paper, we focus on the first step of the whole bio-inspired process that is based on two filtering steps, which are a global filtering followed by a more local filtering after a change of observation scale. The contribution of this approach is the use and the generalization of the Haar-Like-Features for the analysis of the document images, inspired from the famous visual perception principle. Different pieces of information are extracted from the whole image before drawing a conclusion, after a process of accumulation of votes. The method is evaluated using the IAM Handwriting Database.
17th Biennial Conference of the International Graphonomics Society
Pointe-à-Pitre, Guadeloupe

hal-01165920
https://hal.univ-antilles.fr/hal-01165920
https://hal.univ-antilles.fr/hal-01165920/document
https://hal.univ-antilles.fr/hal-01165920/file/IGS_2015_submission_33.pdf