Recognizing infants and toddlers over an on-production fingerprint database
Zusammenfassung
It is widely known that biometric systems based on adults fingerprints have reached an outstanding performance when compared against other biometric traits. This explains their extensive use by governmental agencies in charge of citizen identification. Nevertheless, the performance is highly degraded when fingerprints of newborns or toddlers are used. In this work, we analyze the performance of existing solutions (both at sensor and matching level) using 45000 infants fingerprints taken from an on-production civilian database. We also propose a solution by zooming the input fingerprints with an interpolation factor based on ridges distances. The developed solution shows improvements in both fingerprint quality (NFIQ 2.0) as well as recognition performance.
- Vollständige Referenz
- BibTeX
Camacho, Va., Garella, Gu., Franzoni, Fr., Di Martino, Lu., Carbajal, Gu., Preciozzi, Ja. & Fernández, Al.,
(2017).
Recognizing infants and toddlers over an on-production fingerprint database.
In:
Brömme, Ar., Busch, Ch., Dantcheva, An., Rathgeb, Ch. & Uhl, An.
(Hrsg.),
BIOSIG 2017.
Gesellschaft für Informatik, Bonn.
(S. 95-103).
@inproceedings{mci/Camacho2017,
author = {Camacho,Vanina AND Garella,Guillermo AND Franzoni,Francesco AND Di Martino,Luis AND Carbajal,Guillermo AND Preciozzi,Javier AND Fernández,Alicia},
title = {Recognizing infants and toddlers over an on-production fingerprint database},
booktitle = {BIOSIG 2017},
year = {2017},
editor = {Brömme,Arslan AND Busch,Christoph AND Dantcheva,Antitza AND Rathgeb,Christian AND Uhl,Andreas} ,
pages = { 95-103 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Camacho,Vanina AND Garella,Guillermo AND Franzoni,Francesco AND Di Martino,Luis AND Carbajal,Guillermo AND Preciozzi,Javier AND Fernández,Alicia},
title = {Recognizing infants and toddlers over an on-production fingerprint database},
booktitle = {BIOSIG 2017},
year = {2017},
editor = {Brömme,Arslan AND Busch,Christoph AND Dantcheva,Antitza AND Rathgeb,Christian AND Uhl,Andreas} ,
pages = { 95-103 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
Dateien | Größe | Format | Anzeige | |
---|---|---|---|---|
paper9.pdf | 173.8Kb | Öffnen |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISBN: 978-3-88579-664-0
ISSN: 1617-5468
Datum: 2017
Sprache:
(en)

Keywords
Sammlungen
- P270 - BIOSIG 2017 [29]