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Auflistung nach Autor:in "Li, Guoqiang"

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  • Konferenzbeitrag
    A fingerprint indexing scheme with robustness against sample translation and rotation
    (BIOSIG 2015, 2015) Li, Guoqiang; Yang, Bian; Busch, Christoph
    Automatic fingerprint identification systems (AFIS) are getting prevalent around the world, and the size of fingerprint databases involved in AFIS is continuously growing. Thus, studying fingerprint indexing algorithms is desirable in order to facilitate the search process in a large-scale database. In this paper, we firstly propose a feature extraction method to generate a binary template based on minutia information. A fingerprint indexing is designed by combining this binary template and Locality Sensitive Hashing indexing algorithm developed in a state-of-the-art fingerprint indexing method (minutia cylinder-code based indexing method). Experiments have been conducted on several public databases with different settings. The results show that the proposed approach achieves competitive performance or even better performance when benchmarked to the state-of-the-art fingerprint indexing methods.
  • Konferenzbeitrag
    A Novel Mobilephone Application Authentication Approach based on Accelerometer and Gyroscope Data
    (BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group, 2018) Li, Guoqiang; Bours, Patrick
    The advent of mobile phones have changed our daily life. We are heavily relying on various applications installed on mobilephones to communicate with other, to share personal information with them, and to access our bank account, etc. However, the security measurement in terms of accessing these applications is either omitted or user-hostile because of the burden of memorizing the PIN or password. In order to relieve people from such burden, we explore the possibility of developing a mobilephone application authentication approach by analyzing the accelerometer and gyroscope data collected from the first few seconds when the user opens an application. By evaluating several proposed authentication approaches on a dataset collected from a real-life scenario, we achieve the best EER at 22.72% by only using the data collected from first 3 seconds. We think integrating the proposed non-intrusive authentication approach into the mobilephone application as an alternative for PIN/password can provide a more user-friendly authentication mechanism.