Implementation of Deep Learning models for Information Extraction on Identification Documents
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/152091 |
Resumo: | Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science |
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Implementation of Deep Learning models for Information Extraction on Identification DocumentsArtificial IntelligenceMachine LearningArtificial Neural NetworksComputer VisionObject Detection ModelsOptical Character Recognition (OCR)Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe development of object detection models has revolutionized the analysis of personal information on identification cards, leading to a decrease in external human labor. Although previous strategies have been employed to address this issue without using machine learning models, they all present certain limitations, which artificial intelligence aims to overcome. This report delves into the development of a deep learning-based object detection capable of recognizing relevant information from Portuguese identification cards. All the decisions made during the project will be accompanied by a detailed background theory. Additionally, we provide an in-depth analysis of Optical Character Recognition (OCR) technology, which was utilized throughout the project to generate text from images. As the newest member of the Machine learning Team of Biometrid, I had the privilege of being involved in this project that led to the improvement of the current approach that does not leverage machine learning in the detection of relevant sections from ID cards. The findings of this project provide a foundation for further research into the use of AI in identification card analysis.Henriques, Roberto André PereiraRUNRenda, Henrique Eduardo Espadinha2023-04-24T13:07:41Z2023-04-102023-04-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/152091TID:203268369enginfo: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:RCAAP2024-03-11T05:34:27Zoai:run.unl.pt:10362/152091Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:47.508050Repositório 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 |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
title |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
spellingShingle |
Implementation of Deep Learning models for Information Extraction on Identification Documents Renda, Henrique Eduardo Espadinha Artificial Intelligence Machine Learning Artificial Neural Networks Computer Vision Object Detection Models Optical Character Recognition (OCR) |
title_short |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
title_full |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
title_fullStr |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
title_full_unstemmed |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
title_sort |
Implementation of Deep Learning models for Information Extraction on Identification Documents |
author |
Renda, Henrique Eduardo Espadinha |
author_facet |
Renda, Henrique Eduardo Espadinha |
author_role |
author |
dc.contributor.none.fl_str_mv |
Henriques, Roberto André Pereira RUN |
dc.contributor.author.fl_str_mv |
Renda, Henrique Eduardo Espadinha |
dc.subject.por.fl_str_mv |
Artificial Intelligence Machine Learning Artificial Neural Networks Computer Vision Object Detection Models Optical Character Recognition (OCR) |
topic |
Artificial Intelligence Machine Learning Artificial Neural Networks Computer Vision Object Detection Models Optical Character Recognition (OCR) |
description |
Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-24T13:07:41Z 2023-04-10 2023-04-10T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/152091 TID:203268369 |
url |
http://hdl.handle.net/10362/152091 |
identifier_str_mv |
TID:203268369 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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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 |
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