Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


BIOSIG 2011 Proceedings - international conference of the biometrics special interest group P-191, 173-184 (2011).

Gesellschaft für Informatik, Bonn
2011


Copyright © Gesellschaft für Informatik, Bonn

Contents

Large scale iris image quality evaluation

Elham Tabassi

Abstract


Several recent studies have shown that while iris images captured at near infrared are viable biometrics for verification and identification, similar to other biometrics, its performance drops when comparing images from imperfect sources (e.g. subject blinking), under imperfect conditions (e.g. out of focus) or non-ideal capture device. The immediate question to ask is what factors and to what degree are most influential on iris recognition performance. Motivated by this need, National Institute of Standards and Technology (NIST) initiated Iris Quality Evaluation and Calibration (IQCE). IQCE aims to define and quantify iris image properties that are influential on performance of iris recognition. This paper gives an overview of the IQCE.


Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-285-7


Last changed 04.10.2013 18:36:40