DocumentCode :
2993535
Title :
Blind source camera identification
Author :
Kharrazi, Mehdi ; Sencar, Husrev T. ; Memon, Nasir
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Polytech. Univ. Brooklyn, NY, USA
Volume :
1
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
709
Abstract :
An interesting problem in digital forensics is that given a digital image, would it be possible to identify the camera model which was used to obtain the image. In this paper we look at a simplified version of this problem by trying to distinguish between images captured by a limited number of camera models. We propose a number of features which could be used by a classifier to identify the source camera of an image in a blind manner. We also provide experimental results and show reasonable accuracy in distinguishing images from the two and five different camera models using the proposed features.
Keywords :
cameras; feature extraction; identification; image classification; image colour analysis; blind source camera identification; camera color characteristics; camera model identification; camera source identification; digital image forensics; feature extraction; image classification; image quality metrics; legal photographic evidence; Blood; Digital cameras; Digital forensics; Digital images; Image processing; Law enforcement; Layout; Legal factors; Manufacturing; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Conference_Location :
Singapore
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1418853
Filename :
1418853
Link To Document :
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