標題: Digital Forensics of Printed Source Identification for Chinese Characters
作者: Tsai, Min-Jen
Liu, Jung
Yin, Jin-Sheng
Yuadi, Imam
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
公開日期: 1-Jan-2014
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.
URI: http://dx.doi.org/10.1007/978-3-662-43886-2_25
http://hdl.handle.net/11536/25278
ISBN: 978-3-662-43886-2; 978-3-662-43885-5
ISSN: 0302-9743
DOI: 10.1007/978-3-662-43886-2_25
期刊: DIGITAL-FORENSICS AND WATERMARKING, IWDW 2013
Volume: 8389
Issue: 
起始頁: 337
結束頁: 361
Appears in Collections:Conferences Paper