Source color laser printer identification using discrete wavelet transform and feature selection algorithms

Min-Jen Tsai*, Jung Liu, Chen Sheng Wang, Ching Hua Chuang

*此作品的通信作者

研究成果: Conference contribution同行評審

23 引文 斯高帕斯(Scopus)

摘要

It has lately become an important research area of digital forensics to identify the characteristics and the originality of the digital devices. This paper presents a novel method to identify source color laser printer by using discrete wavelet transform and feature selection algorithms. To explore the relationship between color laser printers and color images obtained by scanning printed documents, the proposed approach utilizes image processing techniques and data exploration methods to calculate the features by applying statistical analysis on discrete wavelet transform of scanned images. A model of support vector machines sequentially will be created and trained by using these features to identify the source brand and model of color laser printer. In this study, 10 models of color laser printers and color toner from 6 different brands are used for the experiments. The experimental results reach up to 92.4% identification rate which is significantly superior to the existing known method by 5.5%. The testing performance justifies the proposed identification method is very useful for source color laser printer identification.

原文English
主出版物標題2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
頁面2633-2636
頁數4
DOIs
出版狀態Published - 2011
事件2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil
持續時間: 15 5月 201118 5月 2011

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

Conference

Conference2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
國家/地區Brazil
城市Rio de Janeiro
期間15/05/1118/05/11

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