3 years ago

A double random phase encoding approach for cancelable iris recognition

Fathi E. Abd El-Samie, Randa F. Soliman, Mohamed Amin


In a cancelable iris recognition technique, all enrollment patterns are masked using a transformation function, and the invertibility process for obtaining the original data should not be possible. A novel cancelable iris authentication approach in the encrypted domain is presented in this paper. The double random phase encoding (DRPE) algorithm in the Fractional Fourier Transform (FrFT) Domain is utilized to generate the optical masked IrisCodes. For the transmitter side, two encryption keys (RPM1 and RPM2) are utilized, while the second phase mask is proposed to be the right iris feature vector of the same user. As a result, mixing the feature vectors of the left and right iris patterns of the same subject to an encrypted IrisCode results in enhancing the privacy and preserving the system performance. This proposed system success is attributed to the fact that the iris authentication issue is transformed to a key authentication process. Experimental results conducted on CASIA-IrisV3-Interval dataset achieve a significant gain for both privacy and performance proving the superiority of the proposed approach.

Publisher URL: https://link.springer.com/article/10.1007/s11082-018-1591-0

DOI: 10.1007/s11082-018-1591-0

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.