Visual Cryptography for Biometric Privacy

  title={Visual Cryptography for Biometric Privacy},
  author={Arun Ross and Asem A. Othman},
  journal={IEEE Transactions on Information Forensics and Security},
Preserving the privacy of digital biometric data (e.g., face images) stored in a central database has become of paramount importance. This work explores the possibility of using visual cryptography for imparting privacy to biometric data such as fingerprint images, iris codes, and face images. In the case of faces, a private face image is dithered into two host face images (known as sheets) that are stored in two separate database servers such that the private image can be revealed only when… CONTINUE READING
Highly Cited
This paper has 118 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 75 extracted citations

Information Theoretic Security

Lecture Notes in Computer Science • 2016
View 7 Excerpts
Highly Influenced

Fingerprint Combination for Privacy Protection

View 5 Excerpts
Highly Influenced

Meaningful and Unexpanded Shares for Visual Secret Sharing Schemes

Mr. V. B. Phadtare, Dr. V. R. Ghorpade, Dr. Dnyanesh Patil
View 5 Excerpts
Highly Influenced

An extensive review on visual cryptography schemes

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) • 2014
View 3 Excerpts
Highly Influenced

119 Citations

Citations per Year
Semantic Scholar estimates that this publication has 119 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…