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dc.date.accessioned 2004-05-20T20:27:58Z
dc.date.available 2004-05-20T03:00:00Z
dc.date.issued 2003-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9468
dc.description.abstract In this work an application of image enhancement techniques in fingerprints is presented. Digital Image-processing technology was applied to restored fingerprints with non-uniform contrast. These fingerprints corresponded to unidentified persons who were murdered by Military Forces in 1976. In 1997, after a court decision, Human Right Organisations acceded to the microfilms of the Computer Records Division of the Province of Buenos Aires Police, which contained fingerprints and complementary information from these missing people. Unfortunately most of the fingerprints were taken with a reduction ratio of 41x, they were blurred and their spatial definition was not clear. These features made their classification and comparison very difficult. In this paper a combination of spatial, frequency and morphological enhancement techniques used to restore the fingerprints is presented. Filters had to be combined because the results obtained by applying conventional enhancement techniques were not satisfactory. The resulting images show prominent features in fingerprints that cannot be extracted by other enhancement techniques. en
dc.format.extent 52-55 es
dc.language en es
dc.subject Ciencias Forenses es
dc.subject digital image en
dc.subject IMAGE PROCESSING AND COMPUTER VISION es
dc.title Enhancement techniques in fingerprints as a tool in dactyloscopy en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct03-9.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Moler, Emilce Graciela es
sedici.creator.person Blotta, Eduardo Luis es
sedici.creator.person Pastore, Juan Ignacio es
sedici.creator.person Meschino, Gustavo es
sedici.creator.person Ballarín, Virginia Laura es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000259 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 3, no. 2 es


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