A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples

Detalhes bibliográficos
Autor(a) principal: VICTOR KLEBER SANTOS LEITE MELO
Data de Publicação: 2017
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5182914
id BRCRIS_eb19155a2d5b9bb83db391a58cf47997
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
title A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
spellingShingle A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
offline signature
assinatura offline
VICTOR KLEBER SANTOS LEITE MELO
title_short A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
title_full A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
title_fullStr A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
title_full_unstemmed A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
title_sort A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples
topic offline signature
assinatura offline
publishDate 2017
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5182914
author_role author
author VICTOR KLEBER SANTOS LEITE MELO
author_facet VICTOR KLEBER SANTOS LEITE MELO
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9894457114292762
dc.contributor.advisor1.fl_str_mv BYRON LEITE DANTAS BEZERRA
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2543299534493653
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0002-8327-9734
dc.publisher.none.fl_str_mv UNIVERSIDADE DE PERNAMBUCO
publisher.none.fl_str_mv UNIVERSIDADE DE PERNAMBUCO
instname_str UNIVERSIDADE DE PERNAMBUCO
dc.publisher.program.fl_str_mv ENGENHARIA DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv ENGENHARIA DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online SamplesA Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samplesoffline signature2017masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5182914authorVICTOR KLEBER SANTOS LEITE MELOhttp://lattes.cnpq.br/9894457114292762BYRON LEITE DANTAS BEZERRAhttp://lattes.cnpq.br/2543299534493653https://orcid.org/0000-0002-8327-9734UNIVERSIDADE DE PERNAMBUCOUNIVERSIDADE DE PERNAMBUCOUNIVERSIDADE DE PERNAMBUCOENGENHARIA DA COMPUTAÇÃOENGENHARIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv MELO, VICTOR KLEBER SANTOS LEITE. A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples. 2017. Tese.
dc.identifier.citation.fl_str_mv MELO, VICTOR KLEBER SANTOS LEITE. A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples. 2017. Tese.
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