title: Blind camera fingerprinting and image clustering.
abstract: Previous studies have shown how to "fingerprint" a digital camera given a set of images known to come from the camera. A clustering technique is proposed to construct such fingerprints from a mixed set of images, enabling identification of each image's source camera without any prior knowledge of source.
authors.affiliation: Aerospace Corporation, Chantilly, VA 20151, USA. greg.j.bloy@aero.org
authors.forename: Greg J
authors.initials: GJ
authors.lastname: Bloy
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003196:Computer Graphics; D003878:Dermatoglyphics; D019544:Equipment Failure Analysis / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000145:classification / Q000295:instrumentation* / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted