COLOR LASER PRINTER IDENTIFICATION BY ANALYZING STATISTICAL FEATURES ON DISCRETE WAVELET TRANSFORM

被引：0
|
作者：
Choi, Jung-Ho [1 ]
Im, Dong-Hyuck [1 ]
Lee, Hae-Yeoun [2 ]
Oh, Jun-Taek [3 ]
Ryu, Jin-Ho [3 ]
Lee, Heung-Kyu [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Sch Elect Engn & Comp Sci, Taejon, South Korea
[2] Kumoh Natl Inst Techonol, Sch Comp & Software Engn, Kumhwa, South Korea
[3] Korea Minting & Secur Printing Corp, Tech Res Inst, Informat Technol Lab, Kumhwa, South Korea
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
Media forensics; Color laser printer identification; Discrete wavelet transform; SECURITY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Color laser printers are nowadays abused to print or forge official documents and bills. Identifying color laser printers will be a step for media forensics. This paper presents a new method to identify color laser printers with printed color images. First, 39 noise features of color printed images are extracted from the statistical analysis of the HH sub-band on discrete wavelet transform. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, 9 models of 4 brands, Xerox, Konica, HP, Canon, are tested to classify the brand of color laser printer, the color toner, and the model of color laser printer. The results prove that the presented identification method performs well using the noise features of color printed images.
引用
收藏
页码：1505 / +
页数：2
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