Digital forensics for printed character source identification

Min-Jen Tsai, Chien Lun Hsu, Jin Sheng Yin, Imam Yuadi

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

Even digital content is widely used nowadays, printed documents are still ubiquitously accepted and circulated. Therefore, identifying the printed character source is essential for criminal investigations to authenticate the digital copies of the printed documents. This study carefully examines the important statistical features from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform (DWT), Spatial filters, Wiener filter, and Gabor filter to identify the printer source for Chinese characters by using support vector machine (SVM) and decision fusion of feature selection. Even the subject of printed Chinese character source identification has been investigated, the proposed technique further expands the feature space which achieves superior experimental results and outperforms the techniques described in the literatures. Therefore, the methodology proposed in this study can accomplish high classification accuracy rate which show promising applications for real world digital forensics.

原文English
主出版物標題2016 IEEE International Conference on Multimedia and Expo, ICME 2016
發行者IEEE Computer Society
ISBN(電子)9781467372589
DOIs
出版狀態Published - 25 8月 2016
事件2016 IEEE International Conference on Multimedia and Expo, ICME 2016 - Seattle, United States
持續時間: 11 7月 201615 7月 2016

出版系列

名字Proceedings - IEEE International Conference on Multimedia and Expo
2016-August
ISSN(列印)1945-7871
ISSN(電子)1945-788X

Conference

Conference2016 IEEE International Conference on Multimedia and Expo, ICME 2016
國家/地區United States
城市Seattle
期間11/07/1615/07/16

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