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New Method of Iris Recognition Using Dual Tree Complex Wavelet Transform

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Soft Computing Applications

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

Abstract

We used an iris image collection derived from UPOL (University Palacky, OLomouc) database to test iris image identification with a new method. We extracted texture information from a and b components of Lab converted images. We circularly scrolled the iris, extracting, at equal angles, square areas to which we applied dual-tree complex wavelet transform (DTCWT). In order to compute features, we used the average energy of all the DTCWT coefficients for each subimage. We compared the feature vectors using the Euclidean and the Hamming distances. Our results are comparable to those obtained with Daugman’s algorithm.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, “Alexandru Ioan Cuza” University of Iasi, Iaşi, Romania

    Anca Ignat

  2. Institute of Computer Science, Romanian Academy, Iaşi, Romania

    Mihaela Luca & Adrian Ciobanu

Authors
  1. Anca Ignat
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  2. Mihaela Luca
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  3. Adrian Ciobanu
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Corresponding author

Correspondence to Anca Ignat .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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© 2016 Springer International Publishing Switzerland

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Ignat, A., Luca, M., Ciobanu, A. (2016). New Method of Iris Recognition Using Dual Tree Complex Wavelet Transform. 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_67

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  • DOI: https://doi.org/10.1007/978-3-319-18416-6_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18415-9

  • Online ISBN: 978-3-319-18416-6

  • eBook Packages: EngineeringEngineering (R0)

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