A comparative study of optical character recognition in health information system

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Mario R.M.
Data de Publicação: 2019
Outros Autores: Julio, Duarte, Abelha, Vasco António Pinheiro Costa, Abelha, António, Machado, José Manuel
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/65909
Resumo: MHealth Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To help with the decision of which library to use, a study was made regarding the precision and speed of execution of PyOCR, PyTesseract and TesseOCR.
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spelling A comparative study of optical character recognition in health information systemHISOCRPythonWrapperMHealth Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To help with the decision of which library to use, a study was made regarding the precision and speed of execution of PyOCR, PyTesseract and TesseOCR.FCT - Fundação para a Ciência e a Tecnologia (undefined)Institute of Electrical and Electronics Engineers Inc.Universidade do MinhoRibeiro, Mario R.M.Julio, DuarteAbelha, Vasco António Pinheiro CostaAbelha, AntónioMachado, José Manuel20192019-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/65909eng978172812962410.1109/CEAP.2019.8883448info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T07:22:27Zoai:repositorium.sdum.uminho.pt:1822/65909Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T07:22:27Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A comparative study of optical character recognition in health information system
title A comparative study of optical character recognition in health information system
spellingShingle A comparative study of optical character recognition in health information system
Ribeiro, Mario R.M.
HIS
OCR
Python
Wrapper
title_short A comparative study of optical character recognition in health information system
title_full A comparative study of optical character recognition in health information system
title_fullStr A comparative study of optical character recognition in health information system
title_full_unstemmed A comparative study of optical character recognition in health information system
title_sort A comparative study of optical character recognition in health information system
author Ribeiro, Mario R.M.
author_facet Ribeiro, Mario R.M.
Julio, Duarte
Abelha, Vasco António Pinheiro Costa
Abelha, António
Machado, José Manuel
author_role author
author2 Julio, Duarte
Abelha, Vasco António Pinheiro Costa
Abelha, António
Machado, José Manuel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ribeiro, Mario R.M.
Julio, Duarte
Abelha, Vasco António Pinheiro Costa
Abelha, António
Machado, José Manuel
dc.subject.por.fl_str_mv HIS
OCR
Python
Wrapper
topic HIS
OCR
Python
Wrapper
description MHealth Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To help with the decision of which library to use, a study was made regarding the precision and speed of execution of PyOCR, PyTesseract and TesseOCR.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/65909
url http://hdl.handle.net/1822/65909
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9781728129624
10.1109/CEAP.2019.8883448
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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