Manuscript Character Recognition

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloServicio de Difusión de la Creación Intelectual es
cic.versioninfo:eu-repo/semantics/submittedVersiones
dc.date.accessioned2016-08-18T20:10:59Z
dc.date.available2016-08-18T20:10:59Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/3825
dc.titleManuscript Character Recognitionen
dc.typeArtículoes
dcterms.abstractThe 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
dcterms.creator.authorDe Giusti, Marisa Raqueles
dcterms.creator.authorVillarreal, Gonzalo Lujánes
dcterms.creator.authorVila, María Martaes
dcterms.extent7 p.es
dcterms.identifier.other1666-6038es
dcterms.identifier.urlRegistro completoes
dcterms.isPartOf.issuevol. 6, no. 2es
dcterms.isPartOf.seriesJournal of Computer Science & Technologyes
dcterms.issued2006-10-01
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectImage processing softwareen
dcterms.subject.materiaCiencias de la Computación e Informaciónes
dcterms.title.subtitleOverview of features for the Feature Vectoren

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