Stability of Individuals in a Fingerprint System across Force Levels -- An Introduction to the Stability Score Index.

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Title: Stability of Individuals in a Fingerprint System across Force Levels -- An Introduction to the Stability Score Index.
Authors: O'Connor, Kevin J.1, Elliott, Stephen1, Sutton, Mathias1, Dyrenfurth, Michael1
Source: Annual International Conference on Information Technology & Applications. 2015, p100-106. 7p.
Subjects: Fingerprint equipment, Biometric identification, Iris recognition, Receiver operating characteristic curves, Personal identification numbers
Abstract: This research studied the question: "Are all individual's performance stable in a fingerprint recognition system?" The fingerprints of 154 individuals, provided at different force levels, were examined using the biometric menagerie tool, first coined by Doddington et al.. The Biometric Menagerie illustrates how each person in a given dataset performs in a biometric system, by using their genuine and impostor scores, and providing them a classification based upon those scores. This research examined the biometric menagerie classifications across different force levels in a fingerprint recognition study to uncover if individuals performed the same over five force levels. The study concluded that they did not, and a new metric has been created to quantify this phenomenon. As a result of this discovery, the new metric, Stability Score Index is described to showcase the movement of individuals in the menagerie. [ABSTRACT FROM AUTHOR]
Copyright of Annual International Conference on Information Technology & Applications is the property of Global Science & Technology Forum and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Stability of Individuals in a Fingerprint System across Force Levels -- An Introduction to the Stability Score Index.
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  Data: <searchLink fieldCode="AR" term="%22O'Connor%2C+Kevin+J%2E%22">O'Connor, Kevin J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Elliott%2C+Stephen%22">Elliott, Stephen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sutton%2C+Mathias%22">Sutton, Mathias</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dyrenfurth%2C+Michael%22">Dyrenfurth, Michael</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Annual+International+Conference+on+Information+Technology+%26+Applications%22">Annual International Conference on Information Technology & Applications</searchLink>. 2015, p100-106. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Fingerprint+equipment%22">Fingerprint equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Biometric+identification%22">Biometric identification</searchLink><br /><searchLink fieldCode="DE" term="%22Iris+recognition%22">Iris recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+identification+numbers%22">Personal identification numbers</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This research studied the question: "Are all individual's performance stable in a fingerprint recognition system?" The fingerprints of 154 individuals, provided at different force levels, were examined using the biometric menagerie tool, first coined by Doddington et al.. The Biometric Menagerie illustrates how each person in a given dataset performs in a biometric system, by using their genuine and impostor scores, and providing them a classification based upon those scores. This research examined the biometric menagerie classifications across different force levels in a fingerprint recognition study to uncover if individuals performed the same over five force levels. The study concluded that they did not, and a new metric has been created to quantify this phenomenon. As a result of this discovery, the new metric, Stability Score Index is described to showcase the movement of individuals in the menagerie. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Annual International Conference on Information Technology & Applications is the property of Global Science & Technology Forum and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 100
    Subjects:
      – SubjectFull: Fingerprint equipment
        Type: general
      – SubjectFull: Biometric identification
        Type: general
      – SubjectFull: Iris recognition
        Type: general
      – SubjectFull: Receiver operating characteristic curves
        Type: general
      – SubjectFull: Personal identification numbers
        Type: general
    Titles:
      – TitleFull: Stability of Individuals in a Fingerprint System across Force Levels -- An Introduction to the Stability Score Index.
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            NameFull: O'Connor, Kevin J.
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            NameFull: Elliott, Stephen
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            NameFull: Sutton, Mathias
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            NameFull: Dyrenfurth, Michael
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            – D: 01
              M: 01
              Text: 2015
              Type: published
              Y: 2015
          Titles:
            – TitleFull: Annual International Conference on Information Technology & Applications
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