计算机激光打印文档鉴别与检索

涂岩恺; 陈庆虎; 邓伟

doi:10.3724/SP.J.1146.2010.00230

计算机激光打印文档鉴别与检索

doi: 10.3724/SP.J.1146.2010.00230

涂岩恺^{*① 陈庆虎,},
陈庆虎,
邓伟

基金项目:

公安部重点科研项目(014227101)和湖北省科技攻关项目(2006AA301B44)资助课题

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- 文章访问数: 3233
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- 被引次数: 0
出版历程
- 收稿日期: 2010-03-11
- 修回日期: 2010-06-10
- 刊出日期: 2011-02-19

Computer Laser Print Document Identification and Retrieval

Tu Yan-Kai^{*① 陈庆虎
,},
Chen Qing-Hu,
Deng Wei

摘要

摘要: 该文为解决计算机对打印文档的自动鉴别与检索问题，研究激光打印机的工作机理，以器件特性反映到打印图形中的差异做为打印文档鉴别与检索的依据。设计一种新的双极性Hausdorff距离用于有效的一对一打印字符匹配，之后综合样本的所有字符，采用字符集匹配计算二次距离进一步提高打印图形鉴别和检索的准确性。实验表明该方法能够取得较为理想的效果，其中检索正确率为90%，鉴别最小错误率为17.80%。
- 图像匹配 /
- 文档鉴别与检索 /
- 双极性Hausdorff距离
Abstract: 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.
- Image match /
- Document identification and retrieval /
- Polar Hausdorff distance

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参考文献(1)

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

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