Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose

Krzysztof Misztal; Przemysław Spurek; Emil Saeed; Khalid Saeed; Jacek Tabor

Titles

Abstract

This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.

Keywords

CEC, cross entropy clustering, iris recognition, biometrics

References

[1] Daugman J., How iris recognition works. Circuits and Systems for Video Technology, IEEE Transactions on, 2004, 14(1), pp. 21–30.

[2] Tabor J., Spurek P., Cross-entropy clustering. Pattern Recognition, 2014, 47(9), pp. 3046–3059.

[3] Li P., Ma H., Iris recognition in non-ideal imaging conditions. Pattern Recognition Letters, 2012, 33(8), pp. 1012–1018.

[4] Ma L., Tan T., Wang Y., Zhang D., Eﬃcient iris recognition by characterizing key local variations. Image Processing, IEEE Transactions on, 2004, 13(6), pp. 739–750.

[5] Misztal K., Saeed E., Tabor J., Saeed K., Iris pattern recognition with a new mathematical model to its rotation detection. In: Biometrics and Kansei Engineering. Springer, 2012, pp. 43–65.

[6] Freedman D., Statistical models: theory and practice. Cambridge University Press, Cambridge, United States of America, 2009.

[7] Misztal K., Tabor J., Mahalanobis distance-based algorithm for ellipse growing in iris preprocessing. In: Computer Information Systems and Industrial Management. vol. 8104. LNCS, Springer, London, 2013, pp. 158–167.

Information

Information: Schedae Informaticae, 2015, Volume 24, pp. 31 - 40

DOI: https://doi.org/10.4467/20838476SI.15.003.3025

Article type: Original article

Titles:

Polish:

Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose

English:

Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose

Authors

Krzysztof Misztal

Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland

Przemysław Spurek

https://orcid.org/https://orcid.org/0000-0003-0097-5521

Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland

Emil Saeed

Department of Ophthalmology, Faculty of Medicine, Medical University of Bialystok

Khalid Saeed

Faculty of Computer Science Bialystok University of Technology

Jacek Tabor

https://orcid.org/0000-0001-6652-7727

Faculty of Mathematics and Computer Science, Jagiellonian University ul. Łojasiewicza 6, 30-348 Kraków, Poland

Published at: 11.04.2016

Article status: Open

Licence: None

Percentage share of authors:

Krzysztof Misztal (Author) - 20%

Przemysław Spurek (Author) - 20%

Emil Saeed (Author) - 20%

Khalid Saeed (Author) - 20%

Jacek Tabor (Author) - 20%

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Publication languages:

English

View count: 2560

Number of downloads: 1579

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