• DocumentCode
    2722325
  • Title

    Multiple-sample fusion of matching scores in biometric systems

  • Author

    Cheng, Xi ; Tulyakov, Sergey ; Govindaraju, Venu

  • Author_Institution
    Center for Unified Biometrics & Sensors, Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    If a biometric matching attempt does not succeed, the person might be asked to repeat authentication attempt second time. In such situations, the biometric system has acquired two test templates, and could construct a combined matching score, for example, by averaging two scores from the matches between these templates and the enrolled template. This paper investigates the enhancement of combination algorithm performance by utilizing the third score - the matching score between the two test templates. Two kinds of combination strategies are considered, linear combination and likelihood ratio. The results show, that using the scores between test templates can improve the performance of both linear and likelihood ratio combination methods. We illustrate the theory by experiments performed on four FVC2002 fingerprint databases.
  • Keywords
    biometrics (access control); fingerprint identification; image fusion; image matching; FVC2002 fingerprint databases; biometric systems; combination algorithm enhancement; enrolled template; likelihood ratio combination methods; linear ratio combination methods; multiple sample fusion; score matching; Bayesian methods; Biometrics; Biosensors; Databases; Feature extraction; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
  • Conference_Location
    Colorado Springs, CO
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4577-0529-8
  • Type

    conf

  • DOI
    10.1109/CVPRW.2011.5981827
  • Filename
    5981827