Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …

Abstract Source Camera Identification is a well-known digital forensic challenge of mapping
an image to its authentic source. The current state-of-the-art provides a number of successful …

Reliably identifying and authenticating smart-phones is critical in our daily life since they are
increasingly being used to manage sensitive data such as private messages and financial …

Digital camera noise information is useful in various applications: image enhancement and
postprocessing, device selection for a particular system, recognition, decision making, and …

In the field of forensic imaging, it is important to be able to extract a camera fingerprint from
one or a small set of images known to have been taken by the same camera (or image …

The increased diffusion of digital images generated by mobile devices through social
networks, personal and professional communications, etc. is self-evident. This creates …

Photo response non-uniformity (PRNU) noise-based source attribution is a well-known
technique to verify the camera of an image or video. Researchers have proposed various …

Every imaging sensor introduces a certain amount of noise to the images it captures—slight
fluctuations in the intensity of individual pixels even when the sensor plane was lit absolutely …

Source-camera identification tools assist image forensics investigators to associate an
image with a camera. The Photo Response Non-Uniformity (PRNU) noise pattern caused by …

Flat-field correction (FFC) is commonly used in image signal processing (ISP) to improve the
uniformity of image sensor pixels. Image sensor nonuniformity and lens system …