Privacy-Aware Database System for Retrieving Facial Images
نویسندگان
چکیده
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.
منابع مشابه
Model-Based De-Identification of Facial Images
Recent advances in both camera technology as well as supporting computing hardware have made it significantly easier to acquire, transmit, process and store large amounts of image data. As a consequence a number of image databases, specifically face databases, have been collected, often with the expressed goal of sharing the data with others. Due to concerns about the privacy of the individuals...
متن کاملIntegrating Utility into Face De-identification
With the proliferation of inexpensive video surveillance and face recognition technologies, it is increasingly possible to track and match people as they move through public spaces. To protect the privacy of subjects visible in video sequences, prior research suggests using ad hoc obfuscation methods, such as blurring or pixelation of the face. However, there has been little investigation into ...
متن کاملPrivacy of Facial Soft Biometrics: Suppressing Gender But Retaining Identity
We consider the problem of perturbing a face image in such a way that it cannot be used to ascertain soft biometric attributes such as age, gender and race, but can be used for automatic face recognition. Such an exercise is useful for extending different levels of privacy to a face image in a central database. In this work, we focus on masking the gender information in a face image with respec...
متن کاملAn Improved Privacy Policy Inference over the Socially Shared Images with Automated Annotation Process
Usage of social media’s increased considerably in today world which enables the user to share their personal information like images with the other. This improved technology leads to privacy violation where the users are sharing the large volumes of images across more number of peoples. To provide security for the information, automated annotation of images are introduced which aims to create t...
متن کاملFace Image Retrieval using Tchebichef Moments
Image Retrieval is a field of study concerned with searching and retrieving images from a collection of database. Face image retrieval is still a challenging task since face images can vary noticeably in terms of facial expressions, lighting conditions etc. In this paper we propose a face image retrieval method using Orthogonal Moments (Tchebichef Moment). This method extracts the feature from ...
متن کامل