Feature quality-based multimodal unconstrained eye recognition

Zhi Zhou; Eliza Y. Du; Yong Lin; N. Luke Thomas; Craig Belcher; Edward J. Delp

doi:10.1117/12.2018664

28 May 2013 Feature quality-based multimodal unconstrained eye recognition

Zhi Zhou, Eliza Y. Du, Yong Lin, N. Luke Thomas, Craig Belcher, Edward J. Delp

Author Affiliations +

Proceedings Volume 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013; 87550J (2013) https://doi.org/10.1117/12.2018664
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Iris recognition has been tested to the most accurate biometrics using high resolution near infrared images. However, it does not work well under visible wavelength illumination. Sclera recognition, however, has been shown to achieve reasonable recognition accuracy under visible wavelengths. Combining iris and sclera recognition together can achieve better recognition accuracy. However, image quality can significantly affect the recognition accuracy. Moreover, in unconstrained situations, the acquired eye images may not be frontally facing. In this research, we proposed a feature quality-based multimodal unconstrained eye recognition method that combine the respective strengths of iris recognition and sclera recognition for human identification and can work with frontal and off-angle eye images. The research results show that the proposed method is very promising.

Citation Download Citation

Zhi Zhou, Eliza Y. Du, Yong Lin, N. Luke Thomas, Craig Belcher, and Edward J. Delp "Feature quality-based multimodal unconstrained eye recognition", Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 87550J (28 May 2013); https://doi.org/10.1117/12.2018664

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Iris recognition

Sclera

Eye

Image segmentation

Image quality

Image fusion

Calibration

Show All Keywords

Keywords/Phrases

Search In:

Publication Years