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HUMAN VS. AUTOMATIC MEASUREMENT OF BIOMETRIC SAMPLE QUALITY
 

Summary: HUMAN VS. AUTOMATIC MEASUREMENT
OF BIOMETRIC SAMPLE QUALITY
Andy Adler
School of Information Technology
University of Ottawa, Canada
adler@site.uottawa.ca
Tatyana Dembinsky
School of Information Technology
University of Ottawa, Canada
tdembins@site.uottawa.ca
Abstract
Biometric systems are designed to identify a person based
on physiological or behavioral characteristics. In order to
predict the utility of a particular image for identification, there
is an interest in measures to calculate the biometric image
quality. Such measures often assume (implicitly or explicitly)
that human image quality evaluations are a gold standard. In
order to test this assumption, we measured biometric image
quality for face and iris recognition by 8 human volunteers and
from 6 face recognition and 1 iris recognition algorithm.

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences