Identification of the source of images is an indispensable part of digital forensics that involve
images. Although the correlation between images and imaging devices could be …

The successful investigation and prosecution of significant crimes, including child
pornography, insurance fraud, movie piracy, traffic monitoring, and scientific fraud, hinge …

Every camera sensor leaves unique traces on the acquired images that can be thought of as
a camera fingerprint. This work presents an efficient algorithm for clustering images based …

Source camera identification represents a delicate, crucial but challenging task in digital
forensics, especially when an image has to be used as a proof in a court of law. This paper …

The paper presents a canopy based image clustering algorithm using normalized cross-
correlation among the camera fingerprints as a decision criterion. The proposed framework …

This work presents a new camera fingerprint-based image clustering algorithm. The
proposed algorithm is based on sorting the camera fingerprints according to information that …

This paper presents a method for Photo Response Non Uniformity (PRNU) pattern noise
based camera identification. It takes advantage of the coherence between different PRNU …

This work presents a reduced complexity image clustering (RCIC) algorithm that blindly
groups images based on their camera fingerprint. The algorithm does not need any prior …

The blind clustering of images without any prior information is always challenging for
forensics experts. The problem gets severe in the case of a large dataset where the …

This research study presents a Support Vector Machine (SVM)-driven approach for source
camera identification, focusing on extracting Sensor Pattern Noise (SPN) as a distinctive …