Abstract

Biometric system users' classification based on their recognition quality is an important issue when developing and exploiting such systems. Existing approaches based on a biometric menagerie concept are described and their limitations are shown. A new classification using biometric system errors is proposed and its feasibility is demonstrated.

Original languageEnglish
Title of host publicationCEE-SECR 2017 - Proceedings of the 13th Central and Eastern European Software Engineering Conference in Russia
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450363969
DOIs
Publication statusPublished - 20 Oct 2017
Event13th Central and Eastern European Software Engineering Conference in Russia, CEE-SECR 2017 - Saint-Petersburg
Duration: 20 Oct 201721 Oct 2017

Conference

Conference13th Central and Eastern European Software Engineering Conference in Russia, CEE-SECR 2017
CountryRussian Federation
CitySaint-Petersburg
Period20/10/1721/10/17

Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Sartasov, S., Zakharov, R., & Mikhalev, A. (2017). Lions, swans, monkeys - A new approach to biometric menagerie. In CEE-SECR 2017 - Proceedings of the 13th Central and Eastern European Software Engineering Conference in Russia [3166113] Association for Computing Machinery. https://doi.org/10.1145/3166094.3166113