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<item>
  <id>05706118</id>
  <dt>a</dt>
  <an>05706118</an>
  <augroup>
    <au>Shin, Yong Nyuo</au>
    <au>Jun, In-Kyung</au>
    <au>Kim, Hyun</au>
    <au>Shin, Woochang</au>
  </augroup>
  <ti>Performance assessment method for a forged fingerprint detection algorithm.</ti>
  <so>Park, Jong Hyuk (ed.) et al., Advances in information security and its application. Third international conference, ISA 2009, Seoul, Korea, June 25--27, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02632-4/pbk; 978-3-642-02633-1/ebook). Communications in Computer and Information Science 36, 43-49 (2009).</so>
  <py>2009</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>forged fingerprint</ut>
    <ut>performance evaluation</ut>
    <ut>sample correction</ut>
    <ut>vitality test sample</ut>
    <ut>recursive operating characteristic</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-02633-1_6</li>
  </ligroup>
  <abgroup>
    <ab>Summary: The threat of invasion of privacy and of the illegal appropriation of information both increase with the expansion of the biometrics service environment to open systems. However, while certificates or smart cards can easily be cancelled and reissued if found to be missing, there is no way to recover the unique biometric information of an individual following a security breach. With the recognition that this threat factor may disrupt the large-scale civil service operations approaching implementation, such as electronic ID cards and e-Government systems, many agencies and vendors around the world continue to develop forged fingerprint detection technology, but no objective performance assessment method has, to date, been reported. Therefore, in this paper, we propose a methodology designed to evaluate the objective performance of the forged fingerprint detection technology that is currently attracting a great deal of attention.</ab>
    <rv></rv>
  </abgroup>
</item>