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Auflistung nach Schlagwort "Fingerprint"

1 - 6 von 6
  • Konferenzbeitrag
    Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging
    (BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group, 2018) Keilbach, Pascal; Kolberg, Jascha; Gomez-Barrero, Marta; Busch, Christoph; Langweg, Hanno
    With the increased deployment of biometric authentication systems, some security concerns have also arisen. In particular, presentation attacks directed to the capture device pose a severe threat. In order to prevent them, liveness features such as the blood flow can be utilised to develop presentation attack detection (PAD) mechanisms. In this context, laser speckle contrast imaging (LSCI) is a technology widely used in biomedical applications in order to visualise blood flow. We therefore propose a fingerprint PAD method based on textural information extracted from preprocessed LSCI images. Subsequently, a support vector machine is used for classification. In the experiments conducted on a database comprising 32 different artefacts, the results show that the proposed approach classifies correctly all bona fides. However, the LSCI technology experiences difficulties with thin and transparent overlay attacks.
  • Konferenzbeitrag
    Investigating the impact of demographic factors on contactless fingerprint interoperability
    (BIOSIG 2022, 2022) Aeddon Berti, Nasser Nasrabadi and Jeremy Dawson
    Contactless fingerprints have continued to grow interoperability as a faster and more convenient replacement for contact fingerprints, and with covid-19 now starting to be a past event the need for hygienic alternatives has only grown after the sudden focus during the pandemic. Though, past works have shown issues with the interoperability of contactless prints from both kiosk devices and phone fingerprint collection apps. The focus of the paper is the evaluation of match performance between contact and contactless fingerprints, and the evaluation of match score bias based on skin demographics. AUC results indicate contactless match performance is as good as contact fingerprints, while phone contactless fingerprints fall short. Additionally, bias found for melanin showed specific ranges effected in both low melanin values and high melanin values.
  • Konferenzbeitrag
    Multi-algorithm Benchmark for Fingerprint Presentation Attack Detection with Laser Speckle Contrast Imaging
    (BIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group, 2019) Kolberg, Jascha; Gomez-Barrero, Marta; Busch, Christoph
    The increased usage of biometric authentication systems has raised concerns regarding the security of components in a biometric system. As a consequence, preventing security issues related to presentation attacks targeting the biometric capture device are of utmost importance. To develop presentation attack detection (PAD) mechanisms, features confirming the liveness of the biometric characteristic such as the blood flow within the finger are needed. Utilising laser speckle contrast imaging (LSCI) to observe blood movement below the surface, we present an evaluation of different machine learning classifiers for fingerprint PAD. The experiments over a database comprising 35 different presentation attack instrument (PAI) species show that the detection performance varies depending on the utilised feature extraction method. A majority voting of selected classifiers and features achieves an APCER of 9% for a convenient BPCER of 0.05%.
  • Konferenzbeitrag
    SIFT based fingerprint corepoint localization
    (BIOSIG 2012, 2012) Goyal, Kunal; Malekar, Rutvik; Jindal, Akhil
    The detection of singular points (core and delta), accurately and reliably , is very important for classification and matching of fingerprints.This paper presents a new approach for core point detection based on Scale Invariant Feature Transform (SIFT) operation. Firstly, SIFT points are extracted, then reliability and ridge frequency criteria are applied to reduce the candidate point required to make a decision on the core point. Finally a suitable mask is applied to detect an accurate core point. Experiments on FVC2002 and FVC2004 database show that our approach locates a unique reference point with high accuracy.Results have been compared with existing methods in terms of accuracy of core point detection. To make the algorithm reliable, a simple point based matching has been implemented.
  • Konferenzbeitrag
    Touchless Fingerprint Sample Quality: Prerequisites for the Applicability of NFIQ2.0
    (BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group, 2020) Priesnitz, Jannis; Rathgeb, Christian; Buchmann, Nicolas; Busch, Christoph
    The impact of fingerprint sample quality on biometric performance is undisputed. For touch-based fingerprint data, the effectiveness of the NFIQ2.0 quality estimation method is well documented in scientific literature. Due to the increasing use of touchless fingerprint recognition systems a thorough investigation of the usefulness of the NFIQ2.0 for touchless fingerprint data is of interest. In this work, we investigate whether NFIQ2.0 quality scores are predictive of error rates associated with the biometric performance of touchless fingerprint recognition. For this purpose, we propose a touchless fingerprint preprocessing that favours NFIQ2.0 quality estimation which has been designed for touch-based fingerprint data. Comparisons are made between NFIQ2.0 score distributions obtained from touch-based and touchless fingerprint data of the publicly available FVC06, MCYT, PolyU, and ISPFDv1 databases. Further, the predictive power regarding biometric performance is evaluated in terms of Error-versus-Reject Curves (ERCs) using an open source fingerprint recognition system. Under constrained capture conditions NFIQ2.0 is found to be an effective tool for touchless fingerprint quality estimation if an adequate preprocessing is applied.
  • Konferenzbeitrag
    Visual cryptography applied to fingerprint features as a solution for pre-alignment
    (BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Bringer, Julien; Chabanne, Hervé
    Visual cryptography enables to derive from an image two shares that give separately no information on the original image while leading back to the image by superimposition of the shares. In this work, we apply this technique to fingerprint features for enabling an alignment of a reference and a fresh images. The idea is to use an encrypted share derived from the reference data as a kind of reference grid for pre-alignment of the fresh data on it. Following the principle of visual cryptography, it also ensures a storage protection when data are stored in separate locations.