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
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Iris recognition

Biometrics

Databases

Iris

Image encryption

Image segmentation

Gaussian filters

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