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Auflistung nach Schlagwort "biometric"

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  • Konferenzbeitrag
    Fingermark Quality Assessment: An Open-Source Toolbox
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Oblak, Tim; Haraksim, Rudolf; Beslay, Laurent; Peer, Peter
    Fingermark quality assessment is an important step in a forensic fingerprint identification process. Often done in the scope of criminal investigation, it is performed by trained fingerprint examiners whose quality assessment can be rather subjective. The goal of this work is to develop an automated fingermark quality assessment tool, which would assist the fingermark examiners in their work. In this paper, we present a fast, open-source, and well documented fingermark quality assessment toolbox, which contains more than 20 algorithms for feature extraction, segmentation, and enhancement of fingermark images. We demonstrate the utility of the toolbox by assembling a feature vector and training various baseline machine learning models, capable of predicting the quality of fingermark images with high accuracy.
  • Textdokument
    Recognizing infants and toddlers over an on-production fingerprint database
    (BIOSIG 2017, 2017) Camacho,Vanina; Garella,Guillermo; Franzoni,Francesco; Di Martino,Luis; Carbajal,Guillermo; Preciozzi,Javier; Fernández,Alicia
    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.