Digital forensics of printed source identification for Chinese characters

Min-Jen Tsai*, Jung Liu, Jin Sheng Yin, Imam Yuadi

*此作品的通信作者

研究成果: Conference contribution同行評審

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 impact of different output devices. 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 1.27 %. The superior 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Digital-Forensics and Watermarking - 12th International Workshop, IWDW 2013, Revised Selected Papers
發行者Springer Verlag
頁面337-361
頁數25
ISBN(列印)9783662438855
DOIs
出版狀態Published - 2014
事件12th International Workshop on Digital-Forensics and Watermarking, IWDW 2013 - Auckland, New Zealand
持續時間: 1 10月 20134 10月 2013

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8389 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference12th International Workshop on Digital-Forensics and Watermarking, IWDW 2013
國家/地區New Zealand
城市Auckland
期間1/10/134/10/13

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