Mobile Networks and Management. 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings

Research Article

Application of 3D Delaunay Triangulation in Fingerprint Authentication System

Download
159 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-90775-8_23,
        author={Wencheng Yang and Guanglou Zheng and Ahmed Ibrahim and Junaid Chaudhry and Song Wang and Jiankun Hu and Craig Valli},
        title={Application of 3D Delaunay Triangulation in Fingerprint Authentication System},
        proceedings={Mobile Networks and Management. 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings},
        proceedings_a={MONAMI},
        year={2018},
        month={5},
        keywords={3D Delaunay triangulation Fingerprint authentication},
        doi={10.1007/978-3-319-90775-8_23}
    }
    
  • Wencheng Yang
    Guanglou Zheng
    Ahmed Ibrahim
    Junaid Chaudhry
    Song Wang
    Jiankun Hu
    Craig Valli
    Year: 2018
    Application of 3D Delaunay Triangulation in Fingerprint Authentication System
    MONAMI
    Springer
    DOI: 10.1007/978-3-319-90775-8_23
Wencheng Yang1,*, Guanglou Zheng1,*, Ahmed Ibrahim1,*, Junaid Chaudhry1,*, Song Wang2,*, Jiankun Hu3,*, Craig Valli1,*
  • 1: Edith Cowan University
  • 2: La Trobe University
  • 3: University of New South Wales at Canberra
*Contact email: w.yang@ecu.edu.au, g.zheng@ecu.edu.au, ahmed.ibrahim@ecu.edu.au, j.chaudhry@ecu.edu.au, Song.Wang@latrobe.edu.au, J.Hu@adfa.edu.au, c.valli@ecu.edu.au

Abstract

Biometric security has found many applications in Internet of Things (IoT) security. Many mobile devices including smart phones have supplied fingerprint authentication function. However, the authentication performance in such restricted environment has been downgraded significantly. A number of methods based on Delaunay triangulation have been proposed for minutiae-based fingerprint matching, due to some favorable properties of the Delaunay triangulation under image distortion. However, all existing methods are based on 2D pattern, of which each unit, a Delaunay triangle, can only provide limited discrimination ability and could cause low matching performance. In this paper, we propose a 3D Delaunay triangulation based fingerprint authentication system as an improvement to improve the authentication performance without adding extra sensor data. Each unit in a 3D Delaunay triangulation is a Delaunay tetrahedron, which can provide higher discrimination than a Delaunay triangle. From the experimental results it is observed that the 3D Delaunay triangulation based fingerprint authentication system outperforms the 2D based system in terms of matching performance by using same feature representation, e.g., edge. Furthermore, some issues in applying 3D Delaunay triangulation in fingerprint authentication, have been discussed and solved. To the best of our knowledge, this is the first work in literature that deploys 3D Delaunay triangulation in fingerprint authentication research.