تشخیص برون‌خط جعل دست خط فارسی غیر وابسته به متن با استفاده از تحلیل بافت

[1]     H. Arora, S. Lee, S. Srihari, and S. Cha, “Individuality of Handwriting,” Journal of Forensic Sciences, vol. 47, pp. 1-17, 2002.##

[2]     M. Sreeraj and S. Idicula, “A survey on writer identification schemes, International Journal of Computer Application, vol. 26, pp. 23-33, 2011.##

[3]     M. Bulacu and L. Schomaker, “Text-Independent Writer Identification and Verification Using Textural and Allographic Features”,  IEEE transactions on pattern analysis and machine intelligence, vol. 29, 2007.##

[4]     B. Helli  and M. E. Moghaddam, “An off-line cheque handwritten forgery detection based on feature route density matrix”, Pattern Analysis and Applications, vol. 17, 2014.##

[5]     S. Cha, C. Tappert, M. Gibbons, and Y. Chee, “Automatic Detection of Handwriting Forgery using a Fractal Number Estimate of Wrinkliness”,  International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, pp.        1361-1371, 2004.##

[6]     D. Bertolini, L. S. Oliveira, E. Justino, and R. Sabourin, “Assessing textural features for writer identification on different writing styles and forgeries”,  in 22nd International Conference on Pattern Recognition (ICPR), 2014.##

[7]     H. Said, T. Tan, and K. Baker, “Personal identification based on handwriting”, Pattern Recognition, vol. 33, 2000.##

[8]     F. Shahabinejad  and M. Rahmati, “A New Method for Writer Identification and Verification Based on Farsi/Arabic Handwritten Texts”, in Ninth International Conference on Document Analysis and Recognition, 2007.##

[9]     M. Lutf, X. You, and H. Li, “Offline Arabic handwriting identification using language diacritics”, in 20th International Conference on Pattern Recognition (ICPR), 2010.##

[10]  C. Fahn, C. Lee, and H. Chen, “A text independent handwriting forgery detection system based on branchlet features and Gaussian mixture models”,  in  14th Annual Conference on Privacy, Security and Trust (PST), 2016.##

[11]  B. Helli and M. E. Moghaddam, “A text-independent Persian writer identification based on feature relation graph (FRG)”,  Pattern Recognition, pp. 2199-2209, 2010.##

[12]  B. Helli and M. E. Moghaddam, “A writer identification method based on XGabor and LCS,” IEICE Electronics Express,  vol. 6, pp. 623-629, 2009.##

[13]  H. Yaâcoub, I. Siddiqi, and M. Kettani, “Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments”, Pattern Recognition and Image Analysis, 2015.##

[14]  X. Wu, Y. Tang, and W. Bu, “Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform”, IEEE transactions on information forensics and security, vol. 9, 2014.##

[15]  A. Nicolaou, A. Bagdanov, M. Liwicki, and D. Karatzas, “Sparse Radial Sampling LBP for Writer Identification”, arXiv preprint arXiv, vol. 1504, 2015.##

[16]  M. Y. A. A. A. a. K. K. Khan, “Deep learning for automated forgery detection in hyperspectral document images”, Journal of Electronic Imaging, vol. 5, 2018.##

[17]  V. Ojansivu and J. Heikkilä, “Blur insensitive texture classification using local phase quantization”, Image and signal processing, 2008.##

[18]  T. Ojala, M. Pietikäinen, and D. Harwood, “A Comparative Study of Texture Measures with Classification Based on Feature Distributions”, Pattern Recognition, vol. 29, pp.   51-59, 1996.##

[19]  Z. Guo, L. Zhang, and D. Zhang, “A completed modeling of local binary pattern operator for texture classification,” IEEE Transactions on Image Processing,  vol. 19, 2010.##

[20]  X. Tan and B. Triggs, “Enhanced local texture feature sets for face recognition under difficult lighting conditions,” IEEE Transactions on Image Processing, pp. 1635-1650, 2010.##

[21]  T. Lee, “Image representation using 2D Gabor wavelets”, IEEE Transactions onPattern Analysis and Machine Intelligence,  vol. 18, pp. 959-971, 1996.## 

[22]  H. Chen, “Robust text detection in natural images with  edge-enhanced Maximally Stable Extremal Regions”, in 18th IEEE International Conference on Image Processing (ICIP), Brussels, 2011.##

[23]  D. Marr and E. Hildreth, “Theory of edge detection”, Proceedings of the Royal Society of London B: Biological Sciences, pp. 187-217, 1980.##

[24]  L. Reginald, “Basic Methods for Image Restoration and Identification, ”Information and Communication Theory Group, Delft University of Technology, Elsevier, 1997.##

[25]  D. Bertolini, L. Oliveira, E. Justino, and R. Sabourin, “Texture-based descriptors for writer identification and verification”, Expert Systems with Applications,  vol. 40, pp. 2069-2080, 2013.##

[26]  J. Bhatt and N. Patel, “a survey one class classification using ensembles method”, International Journal for Innovative Research in Science and Technology, vol. 7, 2015.##

[27]  R. Safabaksh, A. Ghanbarian, and G. Ghiasi, “HaFT: A handwritten Farsi text database”,  in Iranian Conference on Machine Vision and Image Processing (MVIP), 2013.##

[28]  M. Ziaratban, K. Faez, and F. Bagheri, “FHT: An Unconstraint Farsi Handwritten Text Database”,  in International Conference on Document Analysis and Recognition (ICDAR), 2009.##

[29]  H. El Abed and V. Margner, “The IFN/ENIT-database - a tool to develop Arabic handwriting recognition systems”,  in  International Symposium on Signal Processing and Its Applications. ISSPA, 2007.##

[30]  V. Pervouchine and G. Leedham, “Extraction and analysis of forensic document examiner features used for writer identification”,  Pattern Recognition,  vol. 40, pp. 1004-1013.##

[31]  M. Malik, M. Liwicki, L. Alewijnse, W. Ohyama, M. Blumenstein , and B. Found, “Signature verification and writer identification competitions for on-and offline skilled forgeries (sigwicomp)”,  in 12th Int. Conf. on Document Analysis and Recognition, 2013.##