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Auflistung nach Autor:in "Linortner, Michael"

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  • Konferenzbeitrag
    Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software
    (BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group, 2020) Castillo-Rosado, Katy; Linortner, Michael; Uhl, Andreas; Mendez-Vasquez, Heydi; Hernandez-Palancar, José
    Finger vein recognition is a biometric authentication technique based on the vein patterns of human fingers. Despite the fact that classical approaches are based on correlation, the topology of vein patterns allows the use of minutiae points for their representation. Minutiae points are the most used features for representing ridge patterns in fingerprints. In literature, it has been shown that minutiae can be used for finger vein comparison, but low image quality provokes that many spurious minutiae are extracted from them. In this work, a preprocessing method is presented, that combines classical digital image processing methods and level set theory in order to extract a set with the most reliable minutiae. The experiments were performed on two publicly available databases and different comparison methods were used for testing the representative character of the minutiae set extracted. The results showed that even though the amount of extracted minutiae is around 15-30, effective identification is possible.
  • Konferenzbeitrag
    On the Relevance of Minutiae Count and Distribution for Finger Vein Recognition Accuracy
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Linortner, Michael; Uhl, Andreas
    Vein recognition usually uses binary features, but besides deep learning-based approaches key-point and minutiae-based ones started to become popular as well. Statistical measures for vein minutiae points, like spatial point distribution, have not been investigated in literature so far. In this work the number of vein minutiae points and their spatial distribution is analyzed in relation to recognition accuracy. The goal is to initiate a discussion on statistical behavior of vein minutiae points and deriving possible quality measures for vein minutiae point sets.
  • Konferenzbeitrag
    VeinPLUS+: A Publicly Available and Free Software Framework for Vein Recognition
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Linortner, Michael; Uhl, Andreas
    In this work a new and open source software framework for vein recognition is presented, which supports a complete tool chain to conduct biometric experiments. The software can be used out of the box on several publicly available databases and offers a convenient mechanism to configure the tool chain to fit the needs for individual experimental setups. It is implemented in C++ and works on Linux as well as on Windows and therefore offers an advantage over existing vein recognition libraries. The project’s aim is to offer a valuable tool to conduct research in the field of vein recognition and importantly, supporting reproducible research.