Manuscript Character Recognition : Overview of features for the Feature Vector

The image recognizing process requires the identification of every logical object that compose every image, which first implies to recognize it as an object (segmentation) and then identify which object is, or at least which is the most likely one from the universe of objects that can be recognized...

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Detalles Bibliográficos
Autores principales: De Giusti, Marisa Raquel, Vila, María Marta, Villarreal, Gonzalo Luján
Formato: Articulo
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Image processing software
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/5520
https://journal.info.unlp.edu.ar/JCST/article/view/821
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-5520
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Image processing software
spellingShingle Ciencias Informáticas
Image processing software
De Giusti, Marisa Raquel
Vila, María Marta
Villarreal, Gonzalo Luján
Manuscript Character Recognition : Overview of features for the Feature Vector
topic_facet Ciencias Informáticas
Image processing software
description The image recognizing process requires the identification of every logical object that compose every image, which first implies to recognize it as an object (segmentation) and then identify which object is, or at least which is the most likely one from the universe of objects that can be recognized (recognition). During the segmentation process, the aim is to identify as many objects that compose the images as possible. This process must be adapted to the universe of all objects that are looked for, which can vary from printed or manuscript characters to fruits or animals, or even fingerprints. Once all objects have been obtained, the system must carry on to the next step, which is the identification of the objects based on the called universe. In other words, if the system is looking for fruits, it must identify univocally fruits from apples and oranges; if they are characters, it must identify the character "a" from the rest of the alphabet, and soon. In this document, the character recognition step has been studied. More specifically, which methods to obtain characteristics exist (advantages and disadvantages, implementations, costs). There is also an overview about the feature vector, in which all features are stored and analyzed in order to perform the character recognition itself.
format Articulo
Articulo
author De Giusti, Marisa Raquel
Vila, María Marta
Villarreal, Gonzalo Luján
author_facet De Giusti, Marisa Raquel
Vila, María Marta
Villarreal, Gonzalo Luján
author_sort De Giusti, Marisa Raquel
title Manuscript Character Recognition : Overview of features for the Feature Vector
title_short Manuscript Character Recognition : Overview of features for the Feature Vector
title_full Manuscript Character Recognition : Overview of features for the Feature Vector
title_fullStr Manuscript Character Recognition : Overview of features for the Feature Vector
title_full_unstemmed Manuscript Character Recognition : Overview of features for the Feature Vector
title_sort manuscript character recognition : overview of features for the feature vector
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/5520
https://journal.info.unlp.edu.ar/JCST/article/view/821
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AT vilamariamarta manuscriptcharacterrecognitionoverviewoffeaturesforthefeaturevector
AT villarrealgonzalolujan manuscriptcharacterrecognitionoverviewoffeaturesforthefeaturevector
bdutipo_str Repositorios
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