Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Emmanuèle Grosicki"'
Publikováno v:
Document numérique. 16:69-90
Cet article decrit une approche globale de reconnaissance de lignes manuscrites, presentee par les auteurs lors de la competition ICDAR 2011 sur la reconnaissance de courriers en francais. L’interet de l’approche proposee est qu’elle permet d
Publikováno v:
ICDAR
ICDAR 2013
ICDAR 2013, Aug 2013, Washington, United States
ICDAR 2013
ICDAR 2013, Aug 2013, Washington, United States
This paper deals with the recognition of free-style handwritten text lines. We compare 2 state-of-the-art segmentation-free recognition approaches. The first one is the popular context-dependent HMM approach (Hidden Markov Models). The second one is
Publikováno v:
DRR
Document Recognition and Retrieval XIX
IS&T/SPIE 24th Annual Symposium on Electronic Imaging-Document Recognition and Retrieval XIX
IS&T/SPIE 24th Annual Symposium on Electronic Imaging-Document Recognition and Retrieval XIX, Jan 2012, San Francisco, United States. ⟨10.1117/12.911965⟩
Document Recognition and Retrieval XIX
IS&T/SPIE 24th Annual Symposium on Electronic Imaging-Document Recognition and Retrieval XIX
IS&T/SPIE 24th Annual Symposium on Electronic Imaging-Document Recognition and Retrieval XIX, Jan 2012, San Francisco, United States. ⟨10.1117/12.911965⟩
International audience; This paper presents a system for the recognition of unconstrained handwritten mails. The main part of this system is an HMM recognizer which uses trigraphs to model contextual information. This recognition system does not requ
Autor:
Haikal El-Abed, Emmanuèle Grosicki
Publikováno v:
ICDAR
This paper describes the French handwriting recognition competition held at ICDAR 2011. This competition is based on the RIMES-database composed of French written documents corresponding to letters sent by individuals to companies or administrations.
Publikováno v:
Document Numérique
Document Numérique, Lavoisier, 2011, 14 (2), pp. 77-101. ⟨10.3166/DN.14.2.77-101⟩
Document Numérique, Lavoisier, 2011, 14 (2), pp. 77-101. ⟨10.3166/DN.14.2.77-101⟩
National audience; Cet article décrit une nouvelle approche utilisant des champs aléatoires conditionnels (CAC) pour extraire à la fois la structure physique et la structure logique de documents manuscrits non contraints. De bons résultats ont é
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a0346da5dccc0983f7f1ffe4489d21a
https://hal.archives-ouvertes.fr/hal-00671180
https://hal.archives-ouvertes.fr/hal-00671180
A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling
Publikováno v:
ICFHR
proceedings of the 12th International Conference on the Frontiers of Handwriting Recognition
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010)
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010), Nov 2010, Kolkata, India. pp. 31-36
proceedings of the 12th International Conference on the Frontiers of Handwriting Recognition
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010)
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010), Nov 2010, Kolkata, India. pp. 31-36
In this study we describe a new approach to extract layout of unconstrained handwritten letters such as those sent by individuals to companies. The proposed model uses a hierarchical combination of Conditional Random Fields (CRFs) which gives access
Autor:
Haikal El Abed, Emmanuèle Grosicki
Publikováno v:
ICDAR
This paper describes the handwriting recognition competitionheld at ICDAR 2009. This competition is based onthe RIMES-database, with French written text documents.These document are classified in three different categories,complete text pages, words,
Publikováno v:
ICDAR
This paper presents the results of the second test phase of the RIMES evaluation campaign. The latter is the first large-scale evaluation campaign intended to all the key players of the handwritten recognition and document analysis communities. It pr
Publikováno v:
Proceedings
International Conference on Document Analysis and Recognition (ICDAR'2007)
International Conference on Document Analysis and Recognition (ICDAR'2007), Sep 2007, Curitiba, Brazil. pp.1023-1027
ICDAR
International Conference on Document Analysis and Recognition (ICDAR'2007)
International Conference on Document Analysis and Recognition (ICDAR'2007), Sep 2007, Curitiba, Brazil. pp.1023-1027
ICDAR
This paper addresses the problem of layout analysis of handwritten letters using textural and spatial information with a bidimensional Markovian approach. In this framework, the layout extraction is viewed as a labeling problem which aims to find the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ccf5b29afc5d1e5477e6173254c3bdc
https://hal.archives-ouvertes.fr/hal-00271728
https://hal.archives-ouvertes.fr/hal-00271728
Publikováno v:
Journal of Electronic Imaging. 22:023028
Many preprocessing techniques have been proposed for isolated word recognition. However, recently, recognition systems have dealt with text blocks and their compound text lines. In this paper, we propose a new preprocessing approach to efficiently co