Abstract
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.
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Fujita, T., Funatomi, T., Morimura, Y., Minoh, M. (2012). Privacy-Aware Database System for Retrieving Facial Images. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_51
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DOI: https://doi.org/10.1007/978-3-642-31724-8_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31723-1
Online ISBN: 978-3-642-31724-8
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