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Iris Databases

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Encyclopedia of Biometrics

Definition

An iris database is a collection of images that contain, at a minimum, the iris region of the eye. The images are typically collected by sensors that operate in the visible spectrum, 380–750 nm, or the near infrared spectrum (NIR), 700–900 nm. The visible spectrum image can be stored as a color image or as an intensity image. The NIR image is always stored as an intensity image.

Introduction

Successful biometric research requires the analysis of human data. For biometric researchers to demonstrate the effectiveness of proposed iris segmentation/recognition techniques and allow fair comparisons with existing methods, publicly available iris databases are required. The perfect iris-image database should be sufficiently large, consist of images collected from a large and heterogeneous group of subjects, and contain images that depict noise factors typically encountered in real world applications. In the following sections, several publicly and freely available iris-image...

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Bibliography

  1. Institute of Automation, Chinese Academy of Science: CASIA v1.0 Iris Image Database, 2008. http://www.nlpr.ia.ac.cn/english/irds/irisdatabase.htm. Accessed 27 Dec, 2008

  2. Phillips, P.J., Bowyer, K.W., Flynn, P.J.: Comment on the CASIA version 1.0 Iris Dataset, IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1869-1870 (2007)

    Article  Google Scholar 

  3. Institute of Automation, Chinese Academy of Science: CASIA v3.0 Iris Image Database, 2008. http://www.nlpr.ia.ac.cn/english/irds/irisdatabase.htm. Accessed 27 Dec, 2008

  4. Dobeš, M., Machala, L.: UPOL Iris Image Database, 2008. http://phoenix.inf.upol.cz/iris/. Accessed 27 Dec, 2008

  5. Dobeš, M., Machala, L., Tichavský, P., Pospíšil J.: Human Eye Iris Recognition Using the Mutual Information. Optik 115(9), 399–405 (2004)

    Google Scholar 

  6. University of Bath: University of Bath Iris Image Database, 2008. http://www.bath.ac.uk/eleceng/research/sipg/irisweb/index.html. Accessed 27 Dec, 2008

  7. National Institute of Standards and Technology: Iris Challenge Evaluation (ICE), 2008. http://iris.nist.gov/ICE/. Accessed 27 Dec, 2008

  8. Liu, X., Bowyer, K.W., Flynn, P.J.: Iris Recognition and Verification Experiments with Improved Segmentation Method. In Proceedings of Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID). Buffalo, NY, 17–18 October 2005

    Google Scholar 

  9. Multimedia University: MMU1 and MMU2 Iris Image Databases, 2008. http://pesona.mmu.edu.my/~ccteo. Accessed 27 Dec, 2008

  10. West Virginia University: West Virginia University Biometric Dataset Collections, 2008. http://www.csee.wvu.edu/~simonac/CITeR_DB. Accessed 27 Dec, 2008

  11. Ross, A., Crihalmeanu, S., Hornak, L., Schuckers, S.: A Centralized Web-Enabled Multimodal Biometric Database. In Proceedings of the 2004 Biometric Consortium Conference (BCC), Arlington, VA, September 2004

    Google Scholar 

  12. Proença, H., Alexandre, L.: UBIRIS: A Noisy Iris Image Database. In: Proceedings of the 13th International Conference on Image Analysis and Processing (ICIA2005), Vol. 1, pp. 970–977, 2005

    Google Scholar 

  13. SOCIA Lab – University of Beira Interior: UBIRIS.v1 Iris Image Database, 2008. http://iris.di.ubi.pt/ubiris1.html. Accessed 27 Dec, 2008

  14. SOCIA Lab – University of Beira Interior: Noisy Iris Challenge Evaluation – Part I, 2008. http://nice1.di.ubi.pt/

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Woodard, D.L., Ricanek, K. (2009). Iris Databases. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_168

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