Offline Recognition of Syntax-Constrained Cursive Handwritten Text

[EN] The problem of continuous handwritten text (CHT) recognition using standard continuous speech recognition technology is considered. Main advantages of this approach are a) system development is completely based on well understood training techniques and b) no segmentation of sentence or line im...

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Detalhes bibliográficos
Autores: González Mollá, Jorge|||0000-0002-0129-0981, Salvador Igual, Ismael|||0000-0001-9269-3737, Toselli, Alejandro Héctor, Juan, Alfons|||0000-0002-9984-4072, Vidal, Enrique|||0000-0003-4579-5196, Casacuberta Nolla, Francisco|||0000-0002-8497-5598
Formato: artículo
Fecha de publicación:2000
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/232529
Acesso em linha:https://riunet.upv.es/handle/10251/232529
Access Level:acceso abierto
Palavra-chave:Off-Line Continuous Handwriting Text Recognition
Feature Extraction
Language Modelling
Hidden Markov Models
Bank Check Legal Amount Recognition
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oai_identifier_str oai:riunet.upv.es:10251/232529
network_acronym_str ES
network_name_str España
repository_id_str
spelling Offline Recognition of Syntax-Constrained Cursive Handwritten TextGonzález Mollá, Jorge|||0000-0002-0129-0981Salvador Igual, Ismael|||0000-0001-9269-3737Toselli, Alejandro HéctorJuan, Alfons|||0000-0002-9984-4072Vidal, Enrique|||0000-0003-4579-5196Casacuberta Nolla, Francisco|||0000-0002-8497-5598Off-Line Continuous Handwriting Text RecognitionFeature ExtractionLanguage ModellingHidden Markov ModelsBank Check Legal Amount Recognition[EN] The problem of continuous handwritten text (CHT) recognition using standard continuous speech recognition technology is considered. Main advantages of this approach are a) system development is completely based on well understood training techniques and b) no segmentation of sentence or line images into characters or words is required, neither in the training nor in the recognition phases. Many recent papers address this problem in a similar way. Our work aims at contributing to this trend in two main aspects: i) We focus on the recognition of individual, isolated characters using the very same technology as for CHT recognition in order to tune essential representation parameters. The results are themselves interesting since they are comparable with state-of-the-art results on the same standard OCR database. And ii) all the work (except for the image processing and feature extraction steps) is strictly based on a well known and widely available standard toolkit for continuous speech recognition.Springer-VerlagInstituto Universitario Mixto de Tecnología de InformáticaDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaCentro de Investigación Pattern Recognition and Human Language TechnologyInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialRepositorio Institucional de la Universitat Politècnica de València Riunet20002000-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/232529reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2325292026-06-13T07:49:27Z
dc.title.none.fl_str_mv Offline Recognition of Syntax-Constrained Cursive Handwritten Text
title Offline Recognition of Syntax-Constrained Cursive Handwritten Text
spellingShingle Offline Recognition of Syntax-Constrained Cursive Handwritten Text
González Mollá, Jorge|||0000-0002-0129-0981
Off-Line Continuous Handwriting Text Recognition
Feature Extraction
Language Modelling
Hidden Markov Models
Bank Check Legal Amount Recognition
title_short Offline Recognition of Syntax-Constrained Cursive Handwritten Text
title_full Offline Recognition of Syntax-Constrained Cursive Handwritten Text
title_fullStr Offline Recognition of Syntax-Constrained Cursive Handwritten Text
title_full_unstemmed Offline Recognition of Syntax-Constrained Cursive Handwritten Text
title_sort Offline Recognition of Syntax-Constrained Cursive Handwritten Text
dc.creator.none.fl_str_mv González Mollá, Jorge|||0000-0002-0129-0981
Salvador Igual, Ismael|||0000-0001-9269-3737
Toselli, Alejandro Héctor
Juan, Alfons|||0000-0002-9984-4072
Vidal, Enrique|||0000-0003-4579-5196
Casacuberta Nolla, Francisco|||0000-0002-8497-5598
author González Mollá, Jorge|||0000-0002-0129-0981
author_facet González Mollá, Jorge|||0000-0002-0129-0981
Salvador Igual, Ismael|||0000-0001-9269-3737
Toselli, Alejandro Héctor
Juan, Alfons|||0000-0002-9984-4072
Vidal, Enrique|||0000-0003-4579-5196
Casacuberta Nolla, Francisco|||0000-0002-8497-5598
author_role author
author2 Salvador Igual, Ismael|||0000-0001-9269-3737
Toselli, Alejandro Héctor
Juan, Alfons|||0000-0002-9984-4072
Vidal, Enrique|||0000-0003-4579-5196
Casacuberta Nolla, Francisco|||0000-0002-8497-5598
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto Universitario Mixto de Tecnología de Informática
Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Centro de Investigación Pattern Recognition and Human Language Technology
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Off-Line Continuous Handwriting Text Recognition
Feature Extraction
Language Modelling
Hidden Markov Models
Bank Check Legal Amount Recognition
topic Off-Line Continuous Handwriting Text Recognition
Feature Extraction
Language Modelling
Hidden Markov Models
Bank Check Legal Amount Recognition
description [EN] The problem of continuous handwritten text (CHT) recognition using standard continuous speech recognition technology is considered. Main advantages of this approach are a) system development is completely based on well understood training techniques and b) no segmentation of sentence or line images into characters or words is required, neither in the training nor in the recognition phases. Many recent papers address this problem in a similar way. Our work aims at contributing to this trend in two main aspects: i) We focus on the recognition of individual, isolated characters using the very same technology as for CHT recognition in order to tune essential representation parameters. The results are themselves interesting since they are comparable with state-of-the-art results on the same standard OCR database. And ii) all the work (except for the image processing and feature extraction steps) is strictly based on a well known and widely available standard toolkit for continuous speech recognition.
publishDate 2000
dc.date.none.fl_str_mv 2000
2000-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/232529
url https://riunet.upv.es/handle/10251/232529
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.198674

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