Publications du WP1

W. Swaileh, T. Paquet, Un modèle syllabique du Français et de l’Anglais pour la reconnaissance de l’écriture, revue Document Numérique, 2016.

W. Swaileh, J. Lerouge and T. Paquet, A Unified French/English syllabic model for handwriting recognition, International Conference on Frontiers in Handwriting Recognition, ICFHR’2016, Shenzen.

W. Swaileh, P. Tranouez, Y. Soullard and T. Paquet, Handwriting Recognition with Multi-gram models,ICDAR 2017.

W. Swaileh and T. Paquet, Handwriting Recognition with Multi-gram language models, Journée TALADOC : Traitement Automatique du Langage et Analyse de Documents, Nantes – 2 juin 2017.

G. Renton, C. Chatelain, S. Adam, C. Kermorvant, T. Paquet, Handwritten Text Line Segmentation using Fully Convolutional Network, Machine Learning workshop at ICDAR 2017.

G. Renton, Y. Soullard, C. Chatelain, S. Adam, C. Kermorvant, T. Paquet, Fully Convolutional Network with dilated convolutions for Handwritten text line segmentation, IJDAR, Volume 21, Issue 3, pp 177–186, September, 2018.

W. Swaileh, Y. Soullard and T. Paquet, A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units, Pattern Recognition Letters, in press.

J.G. Fiscus, A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER), IEEE Workshop on Automatic Speech Recognition and Understanding, 1997.

T. Strauss, G. Leifert, R. Labahn, T. Hodel, G. Muhlberger, ICFHR 2018 competition on automated text recognition on a read dataset, International Conference on Document Analysis and Recognition (ICDAR) 2018.

Y. Soullard, W. Swaileh, C. Chatelain and T. Paquet, Automated Text Recognition with handwriting style and language adaptation, en soumission au journal International Journal on Document Analysis and Recognition (IJDAR) 2018.