標題: Digital forensics of printed source identification for Chinese characters
作者: Tsai, Min-Jen
Yin, Jin-Shen
Yuadi, Imam
Liu, Jung
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Digital image forensics;Graylevel co-occurrence Matrix (GLCM);Discrete Wavelet Transform (DWT);Feature Selection
公開日期: 1-十二月-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 graylevel 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 use 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 of GLCM 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/s11042-013-1642-2
http://hdl.handle.net/11536/147815
ISSN: 1380-7501
DOI: 10.1007/s11042-013-1642-2
期刊: MULTIMEDIA TOOLS AND APPLICATIONS
Volume: 73
起始頁: 2129
結束頁: 2155
顯示於類別:期刊論文