Lions, swans, monkeys - A new approach to biometric menagerie

DOI

https://doi.org/10.1145/3166094.3166113
Final published version

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 language	English
Title of host publication	CEE-SECR 2017 - Proceedings of the 13th Central and Eastern European Software Engineering Conference in Russia
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450363969
DOIs	https://doi.org/10.1145/3166094.3166113
State	Published - 20 Oct 2017
Event	13th Central and Eastern European Software Engineering Conference in Russia, CEE-SECR 2017 - Saint-Petersburg, Russian Federation Duration: 20 Oct 2017 → 21 Oct 2017

Conference

Conference	13th Central and Eastern European Software Engineering Conference in Russia, CEE-SECR 2017
Country/Territory	Russian Federation
City	Saint-Petersburg
Period	20/10/17 → 21/10/17

Scopus subject areas

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

Research areas

Biometric menagerie, Biometric performance, Biometric systems, Biometrics, EER, FAR, FRR

ID: 33863916