Paper
28 April 2010 A new approach for cancelable iris recognition
Kai Yang, Yan Sui, Zhi Zhou, Yingzi Du, Xukai Zou
Author Affiliations +
Abstract
The iris is a stable and reliable biometric for positive human identification. However, the traditional iris recognition scheme raises several privacy concerns. One's iris pattern is permanently bound with him and cannot be changed. Hence, once it is stolen, this biometric is lost forever as well as all the applications where this biometric is used. Thus, new methods are desirable to secure the original pattern and ensure its revocability and alternatives when compromised. In this paper, we propose a novel scheme which incorporates iris features, non-invertible transformation and data encryption to achieve "cancelability" and at the same time increases iris recognition accuracy.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Yang, Yan Sui, Zhi Zhou, Yingzi Du, and Xukai Zou "A new approach for cancelable iris recognition", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 77080A (28 April 2010); https://doi.org/10.1117/12.849752
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Iris recognition

Biometrics

Databases

Iris

Image encryption

Image segmentation

Gaussian filters

RELATED CONTENT

A gallery approach for off-angle iris recognition
Proceedings of SPIE (May 15 2015)
Fingerprint + Iris = IrisPrint
Proceedings of SPIE (May 14 2015)
Local SIFT analysis for hand vein pattern verification
Proceedings of SPIE (November 18 2009)
Knuckle based hand correlation for user authentication
Proceedings of SPIE (April 17 2006)
A simple shape prior model for iris image segmentation
Proceedings of SPIE (May 17 2011)

Back to Top