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dc.contributor.authorGaldámez, Pedro L.
dc.contributor.authorGonzález Arrieta, María Angélica 
dc.contributor.authorRamón, Miguel R.
dc.date.accessioned2017-09-06T09:16:15Z
dc.date.available2017-09-06T09:16:15Z
dc.date.issued2014/06
dc.identifier.citationDistributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing. Volumen 290, pp. 469-476.
dc.identifier.isbn978-3-319-07592-1(Print) / 978-3-319-07593-8(Online)
dc.identifier.issn2194-5357(Print) / 2194-5365(Online)
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-07593-8_54
dc.identifier.urihttp://hdl.handle.net/10366/135069
dc.description.abstractThis paper offers an approach to biometric analysis using ears for recognition. The ear has all the assets that a biometric trait should possess. Because it is a study field in potential growth, this study offers an approach using SURF features as an input of a neural network with the purpose to detect and recognize a person by the patterns of its ear, also includes, the development of an application with .net to show experimental results of the theory applied. Ear characteristics, which are a unchanging biometric approach that does not vary with age, have been used for several years in the forensic science of recognition, thats why the research gets important value in the present. To perform this study, we worked with the help of Police School of Ávila, Province of Spain, we have built a database with approximately 300 ears.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleA Brief Approach to the Ear Recognition Process
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported