標題: Japanese Character based Printed Source Identification
作者: Tsai, Min-Jen
Hsu, Chien-Lun
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
關鍵字: Forensics;Discrete Wavelet Transform (DWT);Support Vector Machines (SVM);Spatial Filter;Wiener Filter;Gabor Filter
公開日期: 2015
摘要: Due to the advances of digital technology, digital contents are widely accepted all over the world. Since the criminal counterfeits and copyright infringement is still under study for the new digital media, there is an increasing need called digital forensics, which involves the collection and analysis of the original digital device, has become an important issue. This study offers a universal approach to extract the important statistical features from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform (DWT), Spatial filter, Wiener filter and Gabor filter to identify the printer source for Japanese characters. The average experimental results achieves high identification rate at 94.23% which is significantly superior to the existing known method of using GLCM at 77.31%. The result is also better than the technique for Chinese character identification method at 88.77%. This superior testing performance demonstrates that the proposed identification technique is very effective for Japanese character based source laser printer identification.
URI: http://hdl.handle.net/11536/134812
ISBN: 978-1-4799-8391-9
ISSN: 0271-4302
期刊: 2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
起始頁: 2800
結束頁: 2803
Appears in Collections:Conferences Paper