An Open Architecture for End-to-End Document Analysis Benchmarking

Bart Lamiroy 1 Daniel Lopresti 2
1 QGAR - Querying Graphics through Analysis and Recognition
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a fully operational, scalable and open architecture allowing to perform end-to-end document analysis benchmarking without needing to develop the whole pipeline. By decomposing the whole analysis process into coarse grained tasks, and by building upon community provided state-of-the art algorithms, our architecture allows virtually any combination of elementary document analysis algorithms, regardless their running system environment, programming language or data structures. Its flexible structure makes it very straightforward to plug in new experimental algorithms, compare them to equivalent other algorithms, and observe its effects on end-to-end tasks without need to install, compile or otherwise interact with any other software than one's own.
Type de document :
Communication dans un congrès
11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.42-47, 2011, 〈10.1109/ICDAR.2011.18〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00598907
Contributeur : Bart Lamiroy <>
Soumis le : mardi 12 juillet 2011 - 20:44:27
Dernière modification le : mardi 24 avril 2018 - 13:35:13
Document(s) archivé(s) le : jeudi 30 mars 2017 - 13:11:09

Fichier

ICDAR_2011.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Bart Lamiroy, Daniel Lopresti. An Open Architecture for End-to-End Document Analysis Benchmarking. 11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.42-47, 2011, 〈10.1109/ICDAR.2011.18〉. 〈inria-00598907v2〉

Partager

Métriques

Consultations de la notice

262

Téléchargements de fichiers

211