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Published in:
Introduction to the Handbook of Iris Recognition Read chapter Read first chapter

2016 | OriginalPaper | Chapter

16. Design Decisions for an Iris Recognition SDK

Authors : Christian Rathgeb, Andreas Uhl, Peter Wild, Heinz Hofbauer

Published in: Handbook of Iris Recognition

Publisher: Springer London

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Abstract

Open-source software development kits are vital to (iris) biometric research in order to achieve comparability and reproducibility of research results. In addition, for further advances in the field of iris biometrics the community needs to be provided with state-of-the-art reference systems, which serve as adequate starting point for new research. This chapter provides a summary of relevant design decisions for software modules constituting an iris recognition system. The proposal of general criteria and adequate concepts is complemented by a detailed description of how according design decisions are implemented in the University of Salzburg Iris Toolkit, an open-source iris recognition software which contains diverse algorithms for iris segmentation, feature extraction, and comparison. Building upon a file-based processing chain, the provided open-source software is designed to support rapid prototyping as well as integration in existing frameworks achieving enhanced usability and extensibility. In order to underline the competitiveness of the presented iris recognition software, experimental evaluations of segmentation and feature extraction algorithms are carried out on a publicly available iris database and compared to a commercial product.

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previous chapter Unconstrained Iris Recognition in Visible Wavelengths
next chapter Fusion of Face and Iris Biometrics
Footnotes
1
University of Salzburg Iris Toolkit (USIT), available at http://​www.​wavelab.​at/​sources/​Rathgeb12e/​.
 
3
Boost library website: http://​www.​boost.​org/​.
 
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Metadata
Title
Design Decisions for an Iris Recognition SDK
Authors
Christian Rathgeb
Andreas Uhl
Peter Wild
Heinz Hofbauer
Copyright Year
2016
Publisher
Springer London
Book
Handbook of Iris Recognition

Print ISBN: 978-1-4471-6782-2

Electronic ISBN: 978-1-4471-6784-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-1-4471-6784-6_16

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