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https://hdl.handle.net/20.500.12008/43494
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Title: | Recognizing infants and toddlers over an on-production fingerprint database |
Authors: | Camacho, Vanina Garella, Guillermo Franzoni, Francesco Di Martino, Luis Carbajal, Guillermo Preciozzi, Javier Fernández, Alicia |
Type: | Ponencia |
Keywords: | Fingerprint, Biometric, Recognition, Newborns, Infants, Toddlers, interpolation |
Descriptors: | Procesamiento de Señales |
Issue Date: | 2017 |
Abstract: | 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 |
Description: | Trabajo presentado al International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 20-22 set. 2017 |
Citation: | Camacho, V, Garella, G, Franzoni, F, Di Martino, L, Carbajal, G, Preciozzi, J, Fernández, A. "Recognizing infants and toddlers over an on-production fingerprint database" Publicado en: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 2017, pp. 1-5, doi: 10.23919/BIOSIG.2017.8053518. |
Academic department: | Procesamiento de Señales |
Investigation group: | Tratamiento de Imágenes |
License: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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CGFDCPF17.pdf | 162,5 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License