Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts

Handwritten Text Recognition is an extensively studied research topic.We implement a widely known binarization method in order to preprocess handwritten text images efficiently and accurately, acquiring adequate binary black-white images for later recognition processes. Afterwards, the characters p...

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Detalles Bibliográficos
Autores principales: Xamena, Eduardo, Orozco, Carlos Ismael, Carrasco Cabrera, Gastón
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Handwritten text recognition
Convolutional Neural Networks
Binarization
Document images
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/89180
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-89180
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Handwritten text recognition
Convolutional Neural Networks
Binarization
Document images
spellingShingle Ciencias Informáticas
Handwritten text recognition
Convolutional Neural Networks
Binarization
Document images
Xamena, Eduardo
Orozco, Carlos Ismael
Carrasco Cabrera, Gastón
Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
topic_facet Ciencias Informáticas
Handwritten text recognition
Convolutional Neural Networks
Binarization
Document images
description Handwritten Text Recognition is an extensively studied research topic.We implement a widely known binarization method in order to preprocess handwritten text images efficiently and accurately, acquiring adequate binary black-white images for later recognition processes. Afterwards, the characters present in the documents are used to train and evaluate deep-learning mechanisms for the recognition task. Our framework provides good source images for the recognition phase in terms of noise removal and processing of low contrast images. Besides, the process of character recognition is also improved by means of deep-learning techniques.
format Objeto de conferencia
Objeto de conferencia
author Xamena, Eduardo
Orozco, Carlos Ismael
Carrasco Cabrera, Gastón
author_facet Xamena, Eduardo
Orozco, Carlos Ismael
Carrasco Cabrera, Gastón
author_sort Xamena, Eduardo
title Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
title_short Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
title_full Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
title_fullStr Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
title_full_unstemmed Towards a Handwritten Text Interpretation Framework for Ancient Spanish Manuscripts
title_sort towards a handwritten text interpretation framework for ancient spanish manuscripts
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/89180
work_keys_str_mv AT xamenaeduardo towardsahandwrittentextinterpretationframeworkforancientspanishmanuscripts
AT orozcocarlosismael towardsahandwrittentextinterpretationframeworkforancientspanishmanuscripts
AT carrascocabreragaston towardsahandwrittentextinterpretationframeworkforancientspanishmanuscripts
bdutipo_str Repositorios
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