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Auflistung nach Autor:in "Tome, Pedro"

1 - 3 von 3
  • Konferenzbeitrag
    On the vulnerability of finger vein recognition to spoofing
    (BIOSIG 2014, 2014) Tome, Pedro; Vanoni, Matthias; Marcel, Sébastien
    The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of spoofing finger vein images has been created from real finger vein samples. Finger vein images are printed using a commercial printer and then, presented at an open source finger vein sensor. Experiments are carried out using an extensible framework, which allows fair and reproducible benchmarks. Experimental results lead to a spoofing false accept rate of 86\%, thus showing that finger vein biometrics is vulnerable to spoofing attacks, pointing out the importance to investigate countermeasures against this type of fraudulent actions.
  • Konferenzbeitrag
    Palm vein database and experimental framework for reproducible research
    (BIOSIG 2015, 2015) Tome, Pedro; Marcel, Sébastien
    A palm vein database acquired by a contactless sensor together with an experimental framework freely available for fair reproducible research purposes are described. The palm vein recognition system uses automatic palm region segmentation and circular Gabor filter approach to enhance the veins in the preprocessing, LBP features and histogram intersection as matching. Results are presented comparing two automatic segmentation using the ROI-1 region proportioned by the acquisition sensor and the ROI-2 region generated by the recognition software developed. Complete benchmark results using popular methods and the source code are attached to the database as a reference for other researchers.
  • Konferenzbeitrag
    Pose Variability Compensation Using Projective Transformation Forensic Face Recognition
    (BIOSIG 2015, 2015) Gonzalez-Sosa, Ester; Vera-Rodriguez, Ruben; Fierrez, Julian; Tome, Pedro; Ortega-Garcia, Javier
    The forensic scenario is a very challenging problem within the face recognition community. The verification problem in this case typically implies the comparison between a high quality controlled image against a low quality image extracted from a close circuit television (CCTV). One of the downsides that frequently presents this scenario is pose deviation since CCTV devices are usually placed in ceilings and the subject normally walks facing forward. This paper proves the value of the projective transformation as a simple tool to compensate the pose distortion present in surveillance images in forensic scenarios. We evaluate the influence of this projective transformation over a baseline system based on principal component analysis and support vector machines (PCA-SVM) for the SCface database. The application of this technique improves greatly the performance, being this improvement more striking with closer images. Results suggest the convenience of this transformation within the preprocessing stage of all CCTV images. The average relative improvement reached with this method is around 30\% of EER.