Handwritten Text Recognition Results on the Bentham Collection with Improved Classical N-Gram-HMM methods-Reference-Cited by-同舟云学术

Handwritten Text Recognition Results on the Bentham Collection with Improved Classical N-Gram-HMM methods

Published:2015-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing
language:
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Author:

Toselli Alejandro H.¹,Vidal Enrique¹

Affiliation:

1. Pattern Recognition and Human Language, Technology Research Center, Universitat Politècnica de València (Spain)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2809544.2809551

Reference31 articles.

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3. T. Bluche. Deep Neural Networks for Large Vocabulary Handwritten Text Recognition. PhD thesis Ecole Doctorale Informatique de Paris-Sud - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur may 2015. Discipline: Informatique. T. Bluche. Deep Neural Networks for Large Vocabulary Handwritten Text Recognition. PhD thesis Ecole Doctorale Informatique de Paris-Sud - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur may 2015. Discipline: Informatique.

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