Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Minutia Cylinder-Code"'
Publikováno v:
In Pattern Recognition November 2021 119
Autor:
Ismay Perez-Sanchez, Barbara Cervantes, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Salvador Garcia, Francisco Herrera
Publikováno v:
IEEE Access, Vol 9, Pp 85488-85499 (2021)
Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts. However, its computational cost hinders the rapid decision making in the identification of an individual when large databases are involved. To reduc
Externí odkaz:
https://doaj.org/article/2f4ac81bb8df40a4ad47030286679bef
Publikováno v:
In Neurocomputing 31 January 2018 275:1711-1724
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 2, Pp 147-162 (2018)
Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is hig
Externí odkaz:
https://doaj.org/article/57e118180c8946598bfa122379571622
Publikováno v:
IEEE Access, Vol 6, Pp 1583-1594 (2018)
Fingerprint indexing is studied widely with the real-valued features, but few works focus on the binary feature descriptors, which are more appropriate to retrieve fingerprints efficiently in the largescale fingerprint database. In this paper, the bi
Externí odkaz:
https://doaj.org/article/2d8d2a420955455984f895108b505bd1
Publikováno v:
APSIPA
Hashing technology gains much attention in protecting the biometric template lately. For instance, Index-of-Max (IoM), a recent reported hashing technique, is a ranking-based locality sensitive hashing technique, which illustrates the feasibility to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad0b3c45548cbf09acdbfc877db1b1a
http://arxiv.org/abs/2203.01095
http://arxiv.org/abs/2203.01095
Publikováno v:
Journal of Information and Telecommunication, Vol 2, Iss 2, Pp 147-162 (2018)
Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c286aa09915f33cc60515edaeeb4d512
https://doi.org/10.1080/24751839.2017.1404712
https://doi.org/10.1080/24751839.2017.1404712
Akademický článek
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Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 33:1051-1057
This paper proposes a new hash-based indexing method to speed up fingerprint identification in large databases. A Locality-Sensitive Hashing (LSH) scheme has been designed relying on Minutiae Cylinder-Code (MCC), which proved to be very effective in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62b1ba6ba8c9599816681f9dd079a107
https://doi.org/10.1109/tpami.2010.228
https://doi.org/10.1109/tpami.2010.228