Cohorte de réseaux de neurones récurrents pour la reconnaissance de l'écriture

Autor: Stuner, Bruno

Les méthodes à l’état de l’art de la reconnaissance de l’écriture sont fondées sur des réseaux de neurones récurrents (RNN) à cellules LSTM ayant des performances remarquables. Dans cette thèse, nous proposons deux nouveaux principes l

Externí odkaz: http://www.theses.fr/2018NORMR024

Handwriting recognition using Cohort of LSTM and lexicon verification with extremely large lexicon

Autor: Stuner, Bruno, Chatelain, Clément, Paquet, Thierry

State-of-the-art methods for handwriting recognition are based on Long Short Term Memory (LSTM) recurrent neural networks (RNN), which now provides very impressive character recognition performance. The character recognition is generally coupled with

Externí odkaz: http://arxiv.org/abs/1612.07528

A Lexicon Verification Strategy in a BLSTM Cascade Framework

Autor: Paquet Thierry, Stuner Bruno, Chatelain Clement

Publikováno v: ICFHR
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. pp.234-239, ⟨10.1109/ICFHR.2016.0053⟩

International audience; Handwriting recognition always has been a difficult problem, with image related problems on the one hand and language processing on the other hand. Significant improvements have been made in handwriting recognition thanks to n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b0f55a77468f137e4cadfafbe584a9
https://doi.org/10.1109/icfhr.2016.0053