Paper Info
Title
A New Feature-Based Method for Source Camera Identification
Abstract
The identification of image acquisition sources is an important problem in digital image forensics. This paper introduces a new feature-based method for digital camera, identification. The method, which is based on an analysis of the imaging pipeline and digital camera, processing operations, employs bi-coherence and wavelet coefficient features extracted from digital images. The sequential forward feature selection algorithm is used to select features, and a support vector machine is used as the classifier for source camera. identification. Experiments indicate that the source camera, identification method based on bi-coherence and wavelet coefficient features is both efficient and reliable.
Year
DOI
Venue
2008
10.1007/978-0-387-84927-0_17
ADVANCES IN DIGITAL FORENSICS IV
Keywords
Field
DocType
source camera identification,bi-coherence,wavelet coefficients
Computer vision,Feature detection (computer vision),Pattern recognition,Camera interface,Computer science,Feature (computer vision),Camera auto-calibration,Feature extraction,Digital camera,Artificial intelligence,Digital imaging,Digital image processing
Conference
Volume
ISSN
Citations 
285
1571-5736
3
PageRank 
References 
Authors
0.45
11
3
Name
Order
Citations
PageRank
Fanjie Meng1234.93
Xiangwei Kong238737.93
Xingang You3628.70