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Feature Quality-Based Unconstrained Eye Recognition

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Signal and Image Processing for Biometrics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 292))

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Abstract

The blood vessel structure of the sclera is unique to each person, and it can be obtained non-intrusively in the visible wavelengths remotely. Sclera recognition has been shown to achieve reasonable recognition accuracy under visible wavelengths. Iris recognition has been tested to be one of the most accurate biometrics near infrared images. However, it does not work well under visible wavelength illumination. Combining iris and sclera recognition together can achieve better recognition accuracy.

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References

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Author information

Authors and Affiliations

  1. Allen Institute for Brain Science, 551 N. 34th Street, Ste. 200, Seattle, WA, 98103, USA

    Zhi Zhou

  2. Qualcomm, 3105 Kifer Road, SCL.C-140A, Santa Clara, CA, 95051, USA

    Eliza Yingzi Du

  3. Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, 723 W. Michigan St. SL160, Indianapolis, Indiana, 46202, USA

    Zhi Zhou, Eliza Yingzi Du & N. Luke Thomas

Authors
  1. Zhi Zhou
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  2. Eliza Yingzi Du
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  3. N. Luke Thomas
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Corresponding author

Correspondence to Eliza Yingzi Du .

Editor information

Editors and Affiliations

  1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Jacob Scharcanski

  2. IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal

    Hugo Proença

  3. Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA

    Eliza Du

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Zhou, Z., Du, E.Y., Thomas, N.L. (2014). Feature Quality-Based Unconstrained Eye Recognition. In: Scharcanski, J., Proença, H., Du, E. (eds) Signal and Image Processing for Biometrics. Lecture Notes in Electrical Engineering, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54080-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-54080-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54079-0

  • Online ISBN: 978-3-642-54080-6

  • eBook Packages: EngineeringEngineering (R0)

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