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Iris Recognition Using Correlation Filters

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Encyclopedia of Biometrics

Synonyms

Iris recognition with deformation and occlusion estimation

Definition

Algorithms for iris recognition usually consist of applying feature extraction on raw iris pattern, then matching against features. However, two important techniques in machine learning and pattern recognition, namely, probabilistic graphical model and advanced correlation filters, have not been used for iris recognition. By using probabilistic graphical models for iris texture deformation, with the observation being the correlation output derived from applying correlation filters to local iris regions, problems of iris pattern local deformations and occlusions can be handled and recognition performance can be improved over that of the conventional iris recognition algorithms.

Introduction

In the past two decades, iris recognition has emerged as one of the most promising modalities for biometric recognition. Many algorithms have been proposed to improve the recognition performance of iris recognition....

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References

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Author information

Authors and Affiliations

  1. Language Technology Institute, Carnegie Mellon University, Pittsburgh, PA, USA

    Yung-hui Li

  2. CMU CyLab Biometrics Center, Pittsburgh, PA, USA

    Marios Savvides

  3. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

    Jason Thornton & B. V. K. Vijaya Kumar

Authors
  1. Yung-hui Li
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  2. Marios Savvides
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  3. Jason Thornton
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  4. B. V. K. Vijaya Kumar
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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© 2015 Springer Science+Business Media New York

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Li, Yh., Savvides, M., Thornton, J., Vijaya Kumar, B.V.K. (2015). Iris Recognition Using Correlation Filters. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_178

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