Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system
Resumen:
We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with the existing system and provide a gradual transition into a fully automatic procedure we mimic the classification scheme being used by DNIC technicians, which is based on a four-class Vucetich system. The classification algorithm we use is based on the method by Karu and Jain [4]. Some modifications to the original algorithm are proposed and evaluated over images extracted from a 4 million fingerprint card archive maintained by DNIC. The algorithm was also tested on fingerprints from the same individuals taken at two different points in time (separated several years) to further evaluate its performance and consistency.
2001 | |
Human expert Directional image Original algorithm Fingerprint image Core point PROCESAMIENTO de SEÑALES |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/21222 | |
Acceso abierto |
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---|---|
author | Bartesaghi, Alberto |
author2 | Gómez, Alvaro Fernández, Alicia |
author2_role | author author |
author_facet | Bartesaghi, Alberto Gómez, Alvaro Fernández, Alicia |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Bartesaghi, Alberto Gómez, Alvaro Fernández, Alicia |
dc.date.accessioned.none.fl_str_mv | 2019-07-03T16:36:05Z |
dc.date.available.none.fl_str_mv | 2019-07-03T16:36:05Z |
dc.date.issued.es.fl_str_mv | 2001 |
dc.date.submitted.es.fl_str_mv | 20190703 |
dc.description.abstract.none.fl_txt_mv | We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with the existing system and provide a gradual transition into a fully automatic procedure we mimic the classification scheme being used by DNIC technicians, which is based on a four-class Vucetich system. The classification algorithm we use is based on the method by Karu and Jain [4]. Some modifications to the original algorithm are proposed and evaluated over images extracted from a 4 million fingerprint card archive maintained by DNIC. The algorithm was also tested on fingerprints from the same individuals taken at two different points in time (separated several years) to further evaluate its performance and consistency. |
dc.identifier.citation.es.fl_str_mv | Bartesaghi, A., Gómez, A., Fernández, A. Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system [en línea] Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21222 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | Springer |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Human expert Directional image Original algorithm Fingerprint image Core point |
dc.subject.other.es.fl_str_mv | PROCESAMIENTO de SEÑALES |
dc.title.none.fl_str_mv | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
dc.type.es.fl_str_mv | Artículo |
dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with the existing system and provide a gradual transition into a fully automatic procedure we mimic the classification scheme being used by DNIC technicians, which is based on a four-class Vucetich system. The classification algorithm we use is based on the method by Karu and Jain [4]. Some modifications to the original algorithm are proposed and evaluated over images extracted from a 4 million fingerprint card archive maintained by DNIC. The algorithm was also tested on fingerprints from the same individuals taken at two different points in time (separated several years) to further evaluate its performance and consistency. |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_8ccd4faa4a94e9150ec893dd28594202 |
identifier_str_mv | Bartesaghi, A., Gómez, A., Fernández, A. Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system [en línea] Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/21222 |
publishDate | 2001 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
spelling | 2019-07-03T16:36:05Z2019-07-03T16:36:05Z200120190703Bartesaghi, A., Gómez, A., Fernández, A. Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system [en línea] Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091.https://hdl.handle.net/20.500.12008/21222We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with the existing system and provide a gradual transition into a fully automatic procedure we mimic the classification scheme being used by DNIC technicians, which is based on a four-class Vucetich system. The classification algorithm we use is based on the method by Karu and Jain [4]. Some modifications to the original algorithm are proposed and evaluated over images extracted from a 4 million fingerprint card archive maintained by DNIC. The algorithm was also tested on fingerprints from the same individuals taken at two different points in time (separated several years) to further evaluate its performance and consistency.Made available in DSpace on 2019-07-03T16:36:05Z (GMT). No. of bitstreams: 4 license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license.txt: 4267 bytes, checksum: 6429389a7df7277b72b7924fdc7d47a9 (MD5) Previous issue date: 2001enengSpringerLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessHuman expertDirectional imageOriginal algorithmFingerprint imageCore pointPROCESAMIENTO de SEÑALESPerformance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification systemArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBartesaghi, AlbertoGómez, AlvaroFernández, AliciaProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
spellingShingle | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system Bartesaghi, Alberto Human expert Directional image Original algorithm Fingerprint image Core point PROCESAMIENTO de SEÑALES |
status_str | publishedVersion |
title | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
title_full | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
title_fullStr | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
title_full_unstemmed | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
title_short | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
title_sort | Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system |
topic | Human expert Directional image Original algorithm Fingerprint image Core point PROCESAMIENTO de SEÑALES |
url | https://hdl.handle.net/20.500.12008/21222 |