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Authors: Mario Konrad 1 ; Herbert Stögner 1 ; Andreas Uhl 2 and Peter Wild 2

Affiliations: 1 Carinthia Tech Institute, Austria ; 2 University of Salzburg, Austria

ISBN: 978-989-674-028-3

Keyword(s): Iris recognition, Multibiometrics, Serial classifier combination, Rotation compensation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: Rotation compensation is one of the computational bottlenecks in large scale iris-based identification schemes, since a significant amount of Hamming distance computations is required in a single match due to the necessary shifting of the iris codes to compensate for eye tilt. To cope with this problem, a serial classifier combination approach is proposed for iris-based identification, combining rotation-invariant pre-selection with a traditional rotation compensating iris code-based scheme. The primary aim, a reduction of computational complexity, can easily be met - at comparable recognition accuracy, the computational effort required is reduced to 20% or even less of the fully fledged iris code based scheme. As a by-product, the recognition accuracy is shown to be additionally improved in open-set scenarios.

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Paper citation in several formats:
Konrad M., Stögner H., Uhl A. and Wild P. (2010). COMPUTATIONALLY EFFICIENT SERIAL COMBINATION OF ROTATION-INVARIANT AND ROTATION COMPENSATING IRIS RECOGNITION ALGORITHMS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 85-90. DOI: 10.5220/0002821100850090

@conference{visapp10,
author={Mario Konrad and Herbert Stögner and Andreas Uhl and Peter Wild},
title={COMPUTATIONALLY EFFICIENT SERIAL COMBINATION OF ROTATION-INVARIANT AND ROTATION COMPENSATING IRIS RECOGNITION ALGORITHMS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={85-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002821100850090},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - COMPUTATIONALLY EFFICIENT SERIAL COMBINATION OF ROTATION-INVARIANT AND ROTATION COMPENSATING IRIS RECOGNITION ALGORITHMS
SN - 978-989-674-028-3
AU - Konrad M.
AU - Stögner H.
AU - Uhl A.
AU - Wild P.
PY - 2010
SP - 85
EP - 90
DO - 10.5220/0002821100850090

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