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Best Practices in Reporting Iris Recognition Results

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 357))

Abstract

This article discusses old and new ways of estimating the performance of an actual or simulated iris recognition system, old and new manners of comparing different actual or simulated iris recognition systems in terms of security and comfort, and makes some considerations on choosing and comparing the processing methods engaged as subtasks of iris recognition. Along the discussion, from time to time, the article summarizes and points out to the open problems and to the best practices on a given topic, selected strictly on a logical basis, regardless if the practices under discussion are popular or not today, regardless the degree of consensus explicitly or implicitly expressed in the current community and literature of the field on the topics at hand.

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Acknowledgments

This work was partially supported by the University of South-East Europe Lumina (Bucharest, Romania), Lumina Foundation (Bucharest, Romania), and Intelligent Systems Laboratory (Aurel Vlaicu University of Arad, Romania).

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Correspondence to Nicolaie Popescu-Bodorin .

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Popescu-Bodorin, N., Balas, V.E. (2016). Best Practices in Reporting Iris Recognition Results. In: Balas, V., Jain, L., Kovačević, B. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-18416-6_64

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  • DOI: https://doi.org/10.1007/978-3-319-18416-6_64

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  • Print ISBN: 978-3-319-18415-9

  • Online ISBN: 978-3-319-18416-6

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