Digital forensics for printed source identification

Min-Jen Tsai, Jung Liu

研究成果: Conference contribution同行評審

26 引文 斯高帕斯(Scopus)

摘要

Recently, digital forensics, which involves the collection and analysis of the origin digital device, has become an important issue. Digital content can play a crucial role in identifying the source device, such as serve as evidence in court. To achieve this goal, we use different texture feature extraction methods such as gray-level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT), to analyze the Chinese printed source in order to find the source of printers. Furthermore, we also explore the optimum feature subset by using feature selection techniques and using support vector machine (SVM) to identify the source model of the documents. The average experimental results attain a 98.64% identification rate which is significantly superior to the existing known method by 1.2%. This higher testing performance demonstrates that the proposed identification method is very useful for source laser printer identification.

原文English
主出版物標題2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
頁面2347-2350
頁數4
DOIs
出版狀態Published - 2013
事件2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 - Beijing, China
持續時間: 19 5月 201323 5月 2013

出版系列

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

Conference

Conference2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
國家/地區China
城市Beijing
期間19/05/1323/05/13

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