Privacy-Aware Database System for Retrieving Facial Images
| Autor: | Michihiko Minoh, Fujita Tomohiko, Takuya Funatomi, Yoshitaka Morimura |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
business.industry
Computer science Acceptance rate Advanced Encryption Standard Privacy protection ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Encryption ComputerApplications_MISCELLANEOUS False rejection rate Key (cryptography) Entropy (information theory) Artificial intelligence business Image retrieval ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783642317231 IPMU (4) |
| DOI: | 10.1007/978-3-642-31724-8_51 |
| Popis: | To achieve privacy protection on facial image retrieval systems, we propose a method of encrypting facial images with a key produced from facial features. Because facial features vary even for the same person, it is not recommended to use facial features as the cryptographic key. Therefore, we propose a method for generating a key by quantizing the facial features based on entropy. In our experiment, we applied the proposed method to a public facial image database, and evaluated the system performance and integrity by calculating the false acceptance rate and the false rejection rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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