Advanced Search
Volume 33 Issue 2
Mar.  2011
Turn off MathJax
Article Contents
Tu Yan-Kai, Chen Qing-Hu, Deng Wei. Computer Laser Print Document Identification and Retrieval[J]. Journal of Electronics & Information Technology, 2011, 33(2): 499-503. doi: 10.3724/SP.J.1146.2010.00230
Citation: Tu Yan-Kai, Chen Qing-Hu, Deng Wei. Computer Laser Print Document Identification and Retrieval[J]. Journal of Electronics & Information Technology, 2011, 33(2): 499-503. doi: 10.3724/SP.J.1146.2010.00230

Computer Laser Print Document Identification and Retrieval

doi: 10.3724/SP.J.1146.2010.00230 cstr: 32379.14.SP.J.1146.2010.00230
  • Received Date: 2010-03-11
  • Rev Recd Date: 2010-06-10
  • Publish Date: 2011-02-19
  • In this paper laser printer mechanism is researched, and intelligent print document identification and retrieval are achieved by measuring print shape deviation which reflects the intrinsic tolerances of printer device. A novel polar Hausdorff distance is proposed to obtain effective performance of the print shape matching. Print character set including all samples is applied to compare and improve the identification and retrieval accuracy. Experimental results show the approach is suitable for this application in which the accuracy is 90% for retrieval and the minimum error rate is 17.80% for identification.
  • loading
  • 李江春. 利用暗记特征鉴别彩色激光打印、复制文件[J]. 刑事技术,2009, (1): 26-28.Li Jiang-chun. Potential of identification code of color laser printer in document examination[J]. Forensic Science and Technology, 2009, (1): 26-28.[2]Lin G, Grice J, and Allebach J. Banding artifact reduction in electrophotographic printers by using pulse width modulation[J]. International Journal of Imaging Science and Technology, 2002, 46(4): 326-337.[3]Ali G N.[J].Chiang P J, and Mikkilineni A K, et al.. Intrinsic and extrinsic signatures for information hiding and secure printing with electrophotographic devices[C]. Proceedings of the ISTs NIP19: International Conference on Digital Printing Technologies, New Orleans, September.2003,:-[4]Chiang Pei-ju, Khanna N, and Mikkilineni A, et al.. Printer and scanner forensics[J]. IEEE Signal Processing Magazine, 2009, 26(2): 72-83.[5]张树仁,陆博良. 飞切多棱镜分度装置及其误差分析[J]. 长春光学精密机械学院学报, 1992, 15(4): 8-12.Zhang Shu-ren and Lu Bo-liang. Index unit for ultraprecision machining polygon mirrors and its error analysis[J]. Journal of Changchun Institute of Optics and Fine Mechanics, 1992, 15(4): 8-12.[6]Tu Yan-kai, Chen Qing-hu, and Liao Li-juan, et al.. Research on Print Quality Assessment and Identification: Evaluation of Print Edge Roughness[C]. International Conference on Computational Intelligence and Software Engineering, Wuhan, December 2009: 1-4.[7]Deng Wei, Chen Qing-hu, and Yuan Feng, et al.. Printer identification based on distance transform[C]. IEEE International Conference on Intelligent Networks and Intelligent Systems, Wuhan, January 2008: 565-568.[8]Paumard J and Aubourg E. Adjusting astronomical images using a censored Hausdorff distance[C]. International Conference on Image Processing, Santa Barbara, October 1997: 232-235.[9]Huttenlocher D P, Klanderman G A, and Rucklidge W J. Comparing images using the Hausdorff distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.1993, 15(9):850-863[10]Huttenlocher D P, Rucklidge W J, and Klanderman G A. Comparing images using the Hausdorff distance under translation[C]. IEEE Conf. on Comput. Vision Pattern Recogn, Champaign, June 1992: 654-656.[11]Dubuisson M P and Jain A K. A modified Hausdorff distance for object matching[C]. 12th IAPR International Conf. on Pattern Recogn. Jerusalem, October 1994: 566-568.[12]Sim Dong-gyu, Kwon Oh-kyu, and Park Rae-hong. Object matching algorithms using robust Hausdorff distance measures[J].IEEE Transactions on Image Processing.1999, 8(3):425-429
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3279) PDF downloads(939) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return