Title :
Blind Camera Fingerprinting and Image Clustering
Author_Institution :
Aerosp. Corp., Chantilly
fDate :
3/1/2008 12:00:00 AM
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.
Keywords :
cameras; image processing; blind camera fingerprinting; image clustering; image processing; clustering algorithms; forensics; image processing; machine learning; pattern recognition; Algorithms; Artificial Intelligence; Cluster Analysis; Computer Graphics; Dermatoglyphics; Equipment Failure Analysis; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.1183
