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Mostrar registro sencillo 2008-05-21T17:25:38Z 2008-05-21T03:00:00Z 2006-10
dc.description.abstract 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. en
dc.format.extent p. 92-98 es
dc.language en es
dc.title Manuscript Character Recognition en
dc.type Articulo es
sedici.identifier.uri es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle Overview of features for the Feature Vector en
sedici.creator.person De Giusti, Marisa Raquel es
sedici.creator.person Vila, María Marta es
sedici.creator.person Villarreal, Gonzalo Luján es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es Proyecto de Enlace de Bibliotecas (PREBI) es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 3.0 Unported (CC BY 3.0)
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000564 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 6, no. 2 es
sedici.subject.acmcss98 Image processing software es

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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 3.0 Unported (CC BY 3.0)