ROTATION-INVARIANT IRIS RECOGNITION - Boosting 1D Spatial-Domain Signatures to 2D

Matschitsch, Stefan; Stögner, Herbert; Tschinder, Martin; Uhl, Andreas

doi:10.5220/0001480102320235

Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics Service 2008

DOI: 10.5220/0001480102320235

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ROTATION-INVARIANT IRIS RECOGNITION - Boosting 1D Spatial-Domain Signatures to 2D

Stefan Matschitsch¹,

Herbert Stögner²,

Martin Tschinder

et al.

Abstract: Abstract:An iris recognition algorithm based on 1D spatial domain signatures is improved by extending template data from mean vectors to 2D histogram information. EER and shape of the FAR curve is clearly improved as compared to the original algorithm, while rotation invariance and the low computational demand is maintained. The employment of the proposed scheme remains limited to the similarity ranking scenario due to its overall FAR/FRR behaviour.

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2010

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Computationally Efficient Serial Combination of Rotation-Invariant and Rotation Compensating Iris Recognition Algorithms

Konrad¹,

Stögner²,

Uhl³

et al. 2010

Proceedings of the International Conference on Computer Vision Theory and Applications

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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.

show abstract

Computationally Efficient Serial Combination of Rotation-Invariant and Rotation Compensating Iris Recognition Algorithms

Konrad¹,

Stögner²,

Uhl³

et al. 2010

Proceedings of the International Conference on Computer Vision Theory and Applications

View full text Add to dashboard Cite

show abstract

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ROTATION-INVARIANT IRIS RECOGNITION - Boosting 1D Spatial-Domain Signatures to 2D

Cited by 1 publication

References 8 publications

Computationally Efficient Serial Combination of Rotation-Invariant and Rotation Compensating Iris Recognition Algorithms

Computationally Efficient Serial Combination of Rotation-Invariant and Rotation Compensating Iris Recognition Algorithms

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