论文标题
智能手机摄像机在保留生物识别实用程序时取消识别
Smartphone Camera De-identification while Preserving Biometric Utility
论文作者
论文摘要
通常利用照片响应的原理（PRNU）来推断其相机或传感器用于获取特定图像的智能手机设备的身份。在这项工作中，我们设计了一种算法，该算法使用智能手机摄像机获得的面部图像，以使（a）与智能手机摄像机有关的特定于传感器的细节被抑制（传感器匿名）； （b）合并不同设备的传感器图案（传感器欺骗）； （c）使用扰动图像的生物特征匹配不受影响（生物识别实用程序）。我们采用一种简单的方法利用离散的余弦变换来实现上述目标。在Miche-I和Oulu-NPU数据集上进行的实验，该数据集包含使用12个智能手机摄像机获得的眼周和面部数据，证明了所提出的DE识别算法在三种基于PRNU的三种基于PRNU的传感器识别方案上的功效。这项工作在传感器取证和个人隐私方面具有应用。
The principle of Photo Response Non Uniformity (PRNU) is often exploited to deduce the identity of the smartphone device whose camera or sensor was used to acquire a certain image. In this work, we design an algorithm that perturbs a face image acquired using a smartphone camera such that (a) sensor-specific details pertaining to the smartphone camera are suppressed (sensor anonymization); (b) the sensor pattern of a different device is incorporated (sensor spoofing); and (c) biometric matching using the perturbed image is not affected (biometric utility). We employ a simple approach utilizing Discrete Cosine Transform to achieve the aforementioned objectives. Experiments conducted on the MICHE-I and OULU-NPU datasets, which contain periocular and facial data acquired using 12 smartphone cameras, demonstrate the efficacy of the proposed de-identification algorithm on three different PRNU-based sensor identification schemes. This work has application in sensor forensics and personal privacy.
