Forensic classification of imaging sensor types

被引：7

作者：

Khanna, Nitin ^{[1
]}

Mikkilineni, Aravind K. ^{[2
]}

Chiu, George T. C. ^{[2
]}

Allebach, Jan P. ^{[1
]}

Delp, Edward J. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

[2] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA

来源：

SECURITY, STEGANOGRAPHY, AND WATERMARKING OF MULTIMEDIA CONTENTS IX | 2007年 / 6505卷

关键词：

digital forensic; imaging sensor classification; flatbed scanner; sensor noise;

D O I：

10.1117/12.705849

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Digital images can be captured or generated by a variety of sources including digital cameras and scanners. In many cases it is important to be able to determine the source of a digital image. Methods exist to authenticate images generated by digital cameras or scanners, however they rely on prior knowledge of the image source (camera or scanner). This paper presents methods for determining the class of the image source (camera or scanner). The method is based on using, the differences in pattern noise correlations that exist between digital cameras and scanners. To improve the classification accuracy a feature vector based approach using an SVM classifier is used to classify the pattern noise.

引用

页数：9

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