BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition - Normandie Université Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition

G. Bideault
  • Fonction : Auteur
C. Chatelain
T. Paquet
S. Brunessaux
  • Fonction : Auteur

Résumé

In this paper we present several combination strategies using multiple BLSTM-CTC systems. Given several feature sets our aim is to determine which strategies are the most relevant to improve on an isolated word recognition task (the WR2 task of the ICDAR 2009 competition), using a BLSTM-CTC architecture. We explore different combination levels: early integration (feature combination), mid level combination and late fusion (output combinations). Our results show that several combinations outperform single feature BLSTM-CTCs.

Dates et versions

hal-02087427 , version 1 (02-04-2019)

Identifiants

Citer

Luc Mioulet, G. Bideault, C. Chatelain, T. Paquet, S. Brunessaux. BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition. International Conference on Pattern Recognition Applications and Methods, Jan 2015, Lisbon, France. pp.173-180, ⟨10.5220/0005178601730180⟩. ⟨hal-02087427⟩
93 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More