A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand
Descripción del Articulo
Article
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2015 |
| Institución: | Universidad Peruana de Ciencias Aplicadas |
| Repositorio: | UPC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/556175 |
| Enlace del recurso: | http://hdl.handle.net/10757/556175 |
| Nivel de acceso: | acceso abierto |
| Materia: | Biometrics FAR FRR ROI Identification Pattern recognition Veins patterns Dorsum of the hand |
| id |
UUPC_e58cab0f66316ed55635058f05949b5d |
|---|---|
| oai_identifier_str |
oai:repositorioacademico.upc.edu.pe:10757/556175 |
| network_acronym_str |
UUPC |
| network_name_str |
UPC-Institucional |
| repository_id_str |
2670 |
| dc.title.es_PE.fl_str_mv |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| title |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| spellingShingle |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand Alejo, Willy Biometrics FAR FRR ROI Identification Pattern recognition Veins patterns Dorsum of the hand |
| title_short |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| title_full |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| title_fullStr |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| title_full_unstemmed |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| title_sort |
A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the hand |
| dc.creator.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) |
| author |
Alejo, Willy |
| author_facet |
Alejo, Willy Rodriguez, Daniel Kemper, Guillermo Universidad Peruana de Ciencias Aplicadas (UPC) |
| author_role |
author |
| author2 |
Rodriguez, Daniel Kemper, Guillermo Universidad Peruana de Ciencias Aplicadas (UPC) |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
Alejo, Willy Rodriguez, Daniel Kemper, Guillermo |
| dc.subject.es_PE.fl_str_mv |
Biometrics FAR FRR ROI Identification Pattern recognition Veins patterns Dorsum of the hand |
| topic |
Biometrics FAR FRR ROI Identification Pattern recognition Veins patterns Dorsum of the hand |
| description |
Article |
| publishDate |
2015 |
| dc.date.accessioned.es_PE.fl_str_mv |
2015-06-02T20:52:20Z |
| dc.date.available.es_PE.fl_str_mv |
2015-06-02T20:52:20Z |
| dc.date.issued.fl_str_mv |
2015-06-02 |
| dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.issn.es_PE.fl_str_mv |
1548-0992 |
| dc.identifier.doi.es_PE.fl_str_mv |
10.1109/TLA.2015.7112000 |
| dc.identifier.uri.es_PE.fl_str_mv |
http://hdl.handle.net/10757/556175 |
| dc.identifier.journal.es_PE.fl_str_mv |
IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS) |
| identifier_str_mv |
1548-0992 10.1109/TLA.2015.7112000 IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS) |
| url |
http://hdl.handle.net/10757/556175 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.relation.url.es_PE.fl_str_mv |
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2 |
| dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.es_PE.fl_str_mv |
application/pdf |
| dc.publisher.es_PE.fl_str_mv |
IEEE |
| dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
| dc.source.none.fl_str_mv |
reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
| instname_str |
Universidad Peruana de Ciencias Aplicadas |
| instacron_str |
UPC |
| institution |
UPC |
| reponame_str |
UPC-Institucional |
| collection |
UPC-Institucional |
| bitstream.url.fl_str_mv |
https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/1/Biometric.pdf https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/2/license.txt https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/3/Biometric.pdf.txt https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/4/Biometric.pdf.jpg |
| bitstream.checksum.fl_str_mv |
0dea952f3727816fba5c911ca8e0141d 1ed8f33c5404431ad7aabc05080746c5 fbc45baf0c75d06c3958cafa88e8bdfd b29e67323a959cc0f52693ad52807f21 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio académico upc |
| repository.mail.fl_str_mv |
upc@openrepository.com |
| _version_ |
1846065292174688256 |
| spelling |
Alejo, WillyRodriguez, DanielKemper, GuillermoUniversidad Peruana de Ciencias Aplicadas (UPC)2015-06-02T20:52:20Z2015-06-02T20:52:20Z2015-06-021548-099210.1109/TLA.2015.7112000http://hdl.handle.net/10757/556175IEEE Latin America Transactions (IEEE LATIN AMERICA TRANSACTIONS)ArticleThis work proposes a biometric identification system that works together with a palm vein reader sensor and a hand-clenching support, designed to perform the capture the back of the hand. Several processing steps were performed: extraction of the region of interest, binarization, dilation, noise filtering, skeletonization, as well as extraction and verification of patterns based on the measurment of coincidence of vertical and horizontal displacements of skeletonized and dilated images. The proposed method achieved the following results: processing time post capture of 1.8 seconds, FRR of 0.47% and FAR of 0,00%, with a referential database of 50 people from a total of 1500 random captures.application/pdfengIEEEhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7112000&punumber%3D9907%26filter%3DAND%28p_IS_Number%3A7111973%29%26pageNumber%3D2info:eu-repo/semantics/openAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCBiometrics3212a6e4-98fe-487a-a88d-ab8d6163ee88600FARf56c8524-814e-4061-a312-86bdd8144c5f600FRR113ae65a-82f4-4aa5-989d-67e912c2456f600ROI145c2214-c82a-4eb4-b33f-da6d9414046d600Identificationdf27fafe-5121-4570-b31b-5831e172ddcd600Pattern recognition13a1f53e-a4cb-4269-a550-1ffb06658a09600Veins patterns422e896f-4aad-47b3-81af-1d1adb5900c6600Dorsum of the hand5a7bea13-fc65-49b0-a299-613b2d0cc59e600A biometric method based on the matching of dilated and skeletonized IR images of the veins map of the dorsum of the handinfo:eu-repo/semantics/article2018-06-16T19:26:21ZThis work proposes a biometric identification system that works together with a palm vein reader sensor and a hand-clenching support, designed to perform the capture the back of the hand. Several processing steps were performed: extraction of the region of interest, binarization, dilation, noise filtering, skeletonization, as well as extraction and verification of patterns based on the measurment of coincidence of vertical and horizontal displacements of skeletonized and dilated images. The proposed method achieved the following results: processing time post capture of 1.8 seconds, FRR of 0.47% and FAR of 0,00%, with a referential database of 50 people from a total of 1500 random captures.ORIGINALBiometric.pdfBiometric.pdfapplication/pdf839286https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/1/Biometric.pdf0dea952f3727816fba5c911ca8e0141dMD51trueLICENSElicense.txtlicense.txttext/plain; charset=utf-81659https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/2/license.txt1ed8f33c5404431ad7aabc05080746c5MD52falseTEXTBiometric.pdf.txtBiometric.pdf.txtExtracted Texttext/plain30419https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/3/Biometric.pdf.txtfbc45baf0c75d06c3958cafa88e8bdfdMD53falseTHUMBNAILBiometric.pdf.jpgBiometric.pdf.jpgGenerated Thumbnailimage/jpeg116006https://repositorioacademico.upc.edu.pe/bitstream/10757/556175/4/Biometric.pdf.jpgb29e67323a959cc0f52693ad52807f21MD54false10757/556175oai:repositorioacademico.upc.edu.pe:10757/5561752019-08-30 07:57:41.491Repositorio académico upcupc@openrepository.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 |
| score |
13.924177 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
