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Auflistung nach Autor:in "Dawson, Jeremy"

1 - 2 von 2
  • Konferenzbeitrag
    Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) McCauley, John; Soleymani, Sobhan; Williams, Brady; Nasrabadi, Nasser; Dawson, Jeremy
    The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. This work presents an application of one of the largest twin datasets compiled to date to address two FR challenges: 1) determining a baseline measure of facial similarity between identical twins and 2) applying this similarity measure to determine the impact of doppelgangers, or look-alikes, on FR performance for large face datasets. The facial similarity measure is determined via a deep Siamese convolutional neural network. The proposed network provides a quantitative similarity score for any two given faces and has been applied to large-scale face datasets to identify similar face pairs.
  • Konferenzbeitrag
    Interoperability of Contact and Contactless Fingerprints Across Multiple Fingerprint Sensors
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Williams, Brady; McCauley, John; Dando, John; Nasrabadi, Nasser; Dawson, Jeremy
    Contactless fingerprinting devices have grown in popularity in recent years due to speed and convenience of capture. Also, due to the global COVID-19 pandemic, the need for safe and hygienic options for fingerprint capture are more pressing than ever. However, contactless systems face challenges in the areas of interoperability and matching performance as shown in other works. In this paper, we present a contactless vs. contact interoperability assessment of several contactless devices, including cellphone fingerphoto capture. In addition to evaluating the match performance of each contactless sensor, this paper presents an analysis of the impact of finger size and skin melanin content on contactless match performance. AUC results indicate that contactless match performance of the newest contactless devices is reaching that of contact fingerprints. In addition, match scores indicate that, while not as sensitive to melanin content, contactless fingerprint matching may be impacted by finger size.