|
- 2016
基于Gabor特征和稀疏表示的激光打印文档鉴别
|
Abstract:
为了解决计算机打印文档的自动鉴别问题,提出了Gabor特征结合稀疏表示的计算机激光打印文档鉴别算法。针对激光打印文档字符墨粉堆积纹理,提取字符图像的Gabor幅值特征,并将提取的特征进行主成分分析;最后利用不同的分类识别算法,对打印文档进行分类鉴别。在自建数据库上的实验结果表明了本文算法的有效性,打印文档源打印机准确鉴别率可达94.74%
[1] | Tu Yankai, Chen Qinghu, Deng Wei. Computer Laser Print Document Identification and Retrieval[J]. Journal of Electronics & Information Technology, 2011, 33(2):499-503(涂岩恺, 陈庆虎, 邓伟. 计算机激光打印文档鉴别与检索[J].电子与信息学报, 2011, 33(2):499-503) |
[2] | Koh K, Kim S J, Boyd S P. An Interior-point Method for Large-scale l<sub>1</sub>-regularized Logistic Regression[J]. Journal of Machine Learning Research, 2007, 8(8):1519-1555 |
[3] | Hastie T, Tibshirani R. Discriminant Adaptive Nearest Neighbor Classification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(6):607-616 |
[4] | Vapnik V.Statistical Learning Theory[M].New York:Wiley&Sons,1998 |
[5] | Chang C C, Lin C J. LIBSVM:A Library for Support Vector Machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3):389-396 |
[6] | Shi Feng, Wang Xiaochuan, Yu Lei, et al. Thirty Case Analysis of MATLAB Neural Network[M]. Beijing:Beihang University Press, 2010:123-127(史峰,王小川,郁磊,等.MATLAB神经网络30个案例分析[M].北京:北京航空航天大学出版社, 2010:123-127) |
[7] | Ali G N, Mikkilineni A K, Allebach J P, et al.Intrinsic and Extrinsic Signatures for Information Hiding and Secure Printing with Electrophotographic Devices[C]. Proceedings of the IS&T's NIP19:International Conference on Digital Printing Technologies, New Orleans, 2003 |
[8] | Yang M, Zhang L, Shiu S C K, et al. Gabor Feature based Robust Representation and Classification for Face Recognition with Gabor Occlusion Dictionary[J]. Pattern Recognition, 2013,46(7):1865-1878 |
[9] | Wright J, Yang A Y, Ganesh A, et al. Robust Face Recognition via Sparse Representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2):210-227 |
[10] | Lan Chengdong, Chen Liang, Lu Tao.Face Super-resolution Using Sparse Representation with Position Weights[J]. Geomatics and Information Science of Wuhan University, 2013,38(1):27-30(兰诚栋, 陈亮,卢涛.利用位置权重稀疏表示的人脸超分辨率算法[J]. 武汉大学学报·信息科学版, 2013,38(1):27-30) |
[11] | Li Jiangchun. Potential of Identification Code of Color Laser Printer in Document Examination[J].Forensic Science and Technology, 2009(1):26-28(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) |
[12] | Kaur N, Jasuja O P, Singla A K. Thin Layer Chromatography of Computer Printer Ribbon Inks[J]. Forensic Science International, 1992, 53(1):51-60 |
[13] | Chen Qinghu, Deng Wei, Tu Yankai. The High-mangnification Scanning System of the Whole Image[P]. 200920084691.2, China, 2010-01-20(陈庆虎,邓伟,涂岩恺,等. 图像整体高倍放大扫描系统[P]. 200920084691.2, 中国专利, 2010-01-20) |
[14] | Lin G Y, Grice J M, Allebach J P, et al. Banding Artifact Reduction in Electrophotographic Printers by Using Pulse Width Modulation[J]. Journal of Imaging Science and Technology, 2002, 46(4):326-337 |
[15] | Deng Wei. Print Toner Analysis Based Printed Document Examination[J]. Electronic Measurement Technology, 2014, 37(2):70-74(邓伟.基于打印墨粉纹理分析的打印文件检验研究[J].电子测量技术, 2014, 37(2):70-74) |
[16] | Kamarainen J K, Kyrki V, Kalviainen H. Invariance Properties of Gabor Filter-based Features-overview and Applications[J]. IEEE Transactions on Image Processing, 2006, 15(5):1088-1099 |
[17] | Chen Jie, Deng Min, Xiao Pengfeng, et al. Texture Segmentation Based on Gabor Filters and Ant Colony Optimization Algorithm[J].Geomatics and Information Science of Wuhan University, 2010, 35(11):1271-1274(陈杰, 邓敏, 肖鹏峰, 等. 利用Gabor滤波器与蚁群算法进行纹理分割[J].武汉大学学报·信息科学版, 2010, 35(11):1271-1274) |
[18] | Mikkilineni A K, Chiang P J, Ali G N, et al.Printer Identification Based on Graylevel Co-occurrence Features for Security and Forensic Applications[C].Proceedings of the SPIE International Conference on Security, Steganography,and Watermarking of Multimedia Contents Ⅶ, San Jose, CA, 2005 |
[19] | Gebhardt J, Goldstein M, Shafait F, et al.Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection[C].Proceedings of 12th International Conference on Document Analysis and Recognition, Washington, DC, 2013 |