Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system

Bartesaghi, Alberto - Gómez, Alvaro - Fernández, Alicia

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.


Detalles Bibliográficos
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
_version_ 1807522893940129792
author Bartesaghi, Alberto
author2 Gómez, Alvaro
Fernández, Alicia
author2_role author
author
author_facet Bartesaghi, Alberto
Gómez, Alvaro
Fernández, Alicia
author_role author
bitstream.checksum.fl_str_mv 6429389a7df7277b72b7924fdc7d47a9
d41d8cd98f00b204e9800998ecf8427e
4afdbb8c545fd630ea7db775da747b2f
d41d8cd98f00b204e9800998ecf8427e
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
bitstream.url.fl_str_mv http://localhost:8080/xmlui/bitstream/20.500.12008/21222/4/license.txt
http://localhost:8080/xmlui/bitstream/20.500.12008/21222/1/license_text
http://localhost:8080/xmlui/bitstream/20.500.12008/21222/2/license_url
http://localhost:8080/xmlui/bitstream/20.500.12008/21222/3/license_rdf
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 ImágenesLICENSElicense.txttext/plain4267http://localhost:8080/xmlui/bitstream/20.500.12008/21222/4/license.txt6429389a7df7277b72b7924fdc7d47a9MD54CC-LICENSElicense_textapplication/octet-stream0http://localhost:8080/xmlui/bitstream/20.500.12008/21222/1/license_textd41d8cd98f00b204e9800998ecf8427eMD51license_urlapplication/octet-stream49http://localhost:8080/xmlui/bitstream/20.500.12008/21222/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_rdfapplication/octet-stream0http://localhost:8080/xmlui/bitstream/20.500.12008/21222/3/license_rdfd41d8cd98f00b204e9800998ecf8427eMD5320.500.12008/212222024-07-24 17:25:45.728oai:colibri.udelar.edu.uy:20.500.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Universidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestmabel.seroubian@seciu.edu.uyUruguayopendoar:47712024-07-25T14:33:00.599442COLIBRI - 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