Reconocimiento automático de objetos y caracteres en una baraja francesa
Objects and characters recognition is a common activity on our life. Digital images processing offers high speed automation, objectivity and accuracy. Nowadays there are many objects and characters recognition methodologies. However, none of them shows a solution which could apply for all possibl...
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Autores principales: | , , |
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Formato: | Artículo publisherVersion |
Lenguaje: | Español |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12272/5628 |
Aporte de: |
id |
I68-R174-20.500.12272-5628 |
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record_format |
dspace |
institution |
Universidad Tecnológica Nacional |
institution_str |
I-68 |
repository_str |
R-174 |
collection |
RIA - Repositorio Institucional Abierto (UTN) |
language |
Español |
topic |
reconocimiento de caracteres ocr reconocimiento de objetos procesamiento digital reconocimiento de naipes characters recognition ocr objects recognition digitalprocessing cards recognition |
spellingShingle |
reconocimiento de caracteres ocr reconocimiento de objetos procesamiento digital reconocimiento de naipes characters recognition ocr objects recognition digitalprocessing cards recognition Masi, Walter Sebastián Silvestre, Santiago Germán Campos, Alfredo Nicolás Reconocimiento automático de objetos y caracteres en una baraja francesa |
topic_facet |
reconocimiento de caracteres ocr reconocimiento de objetos procesamiento digital reconocimiento de naipes characters recognition ocr objects recognition digitalprocessing cards recognition |
description |
Objects and characters recognition is a common activity on our life. Digital images processing
offers high speed automation, objectivity and accuracy. Nowadays there are many objects
and characters recognition methodologies. However, none of them shows a solution which
could apply for all possible cases. In this paper, pattern comparison, geometric symmetry,
Hough transform, color detection and objects count procedures were developed to get the
value and suit of cards belonging to a standard French 52-card deck.
Different kind and levels of distortions were used, like unfocused, Gaussian noise and rotation
distortions. 96% efficiency was obtained as a result of applying all the recognition algorithms
in a deck in good condition. In the case of distorted cards, were reached values greater than
75%. The rotated cards (figures mainly) showed the biggest error level. |
format |
Artículo publisherVersion |
author |
Masi, Walter Sebastián Silvestre, Santiago Germán Campos, Alfredo Nicolás |
author_facet |
Masi, Walter Sebastián Silvestre, Santiago Germán Campos, Alfredo Nicolás |
author_sort |
Masi, Walter Sebastián |
title |
Reconocimiento automático de objetos y caracteres en una baraja francesa |
title_short |
Reconocimiento automático de objetos y caracteres en una baraja francesa |
title_full |
Reconocimiento automático de objetos y caracteres en una baraja francesa |
title_fullStr |
Reconocimiento automático de objetos y caracteres en una baraja francesa |
title_full_unstemmed |
Reconocimiento automático de objetos y caracteres en una baraja francesa |
title_sort |
reconocimiento automático de objetos y caracteres en una baraja francesa |
publishDate |
2021 |
url |
http://hdl.handle.net/20.500.12272/5628 |
work_keys_str_mv |
AT masiwaltersebastian reconocimientoautomaticodeobjetosycaracteresenunabarajafrancesa AT silvestresantiagogerman reconocimientoautomaticodeobjetosycaracteresenunabarajafrancesa AT camposalfredonicolas reconocimientoautomaticodeobjetosycaracteresenunabarajafrancesa |
bdutipo_str |
Repositorios |
_version_ |
1764820552129708035 |