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Quality Measures in Biometric Systems
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent Systems┬┤ laboratory. iD: 0000-0002-1400-346X
Universidad Autonoma de Madrid, Madrid, Spain.
Universidad Autonoma de Madrid, Madrid, Spain.
2012 (English)In: IEEE Security and Privacy, ISSN 1540-7993, E-ISSN 1558-4046, Vol. 10, no 6, 52-62 p.Article in journal (Refereed) Published
Abstract [en]

Biometric technology has been increasingly deployed in the last decade, offering greater security and convenience than traditional methods of personal recognition. But although the performance of biometric systems is heavily affected by the quality of biometric signals, prior work on quality evaluation is limited. Quality assessment is a critical issue in the security arena, especially in challenging scenarios (e.g. surveillance cameras, forensics, portable devices or remote access through Internet). Different questions regarding the factors influencing biometric quality and how to overcome them, or the incorporation of quality measures in the context of biometric systems have to be analyzed first. In this paper, a review of the state-of-the-art in these matters is provided, giving an overall framework of the main factors related to the challenges associated with biometric quality.

Place, publisher, year, edition, pages
New York, NY: IEEE Computer Society, 2012. Vol. 10, no 6, 52-62 p.
Keyword [en]
biometrics, data processing, image processing, pattern recognition, security
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:hh:diva-16810DOI: 10.1109/MSP.2011.178ISI: 000312042800012Scopus ID: 2-s2.0-85008590400OAI: diva2:468476
Available from: 2013-02-05 Created: 2011-12-21 Last updated: 2017-11-28Bibliographically approved

Open Access in DiVA

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