Visual Cryptography for Biometric Privacy
| Autor: | Asem Othman, Arun Ross |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Information privacy
Biometrics Computer Networks and Communications Computer science business.industry Iris recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial recognition system Visual cryptography Fingerprint Face (geometry) Computer vision Artificial intelligence Safety Risk Reliability and Quality Face detection business |
| Zdroj: | IEEE Transactions on Information Forensics and Security. 6:70-81 |
| ISSN: | 1556-6021 1556-6013 |
| DOI: | 10.1109/tifs.2010.2097252 |
| Popis: | 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 both sheets are simultaneously available; at the same time, the individual sheet images do not reveal the identity of the private image. A series of experiments on the XM2VTS and IMM face databases confirm the following: 1) the possibility of hiding a private face image in two host face images; 2) the successful matching of face images reconstructed from the sheets; 3) the inability of sheets to reveal the identity of the private face image; 4) using different pairs of host images to encrypt different samples of the same private face; and 5) the difficulty of cross-database matching for determining identities. A similar process is used to de-identify fingerprint images and iris codes prior to storing them in a central database. |
| Databáze: | OpenAIRE |
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