Role of automation in the examination of handwritten items
暂无分享,去创建一个
[1] Sargur N. Srihari,et al. Writer Verification of Historical Documents among Cohort Writers , 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.
[2] Sargur N. Srihari,et al. Bayesian Network Structure Learning and Inference Methods for Handwriting , 2013, 2013 12th International Conference on Document Analysis and Recognition.
[3] PlamondonRéjean,et al. On-Line and Off-Line Handwriting Recognition , 2000 .
[4] Sargur N. Srihari,et al. Document Image Binarization: Evaluation Of Algorithms , 1986, Optics & Photonics.
[5] Sargur N. Srihari,et al. Efficient and accurate learning of Bayesian networks using chi-squared independence tests , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[6] Jeannette M. Wing. An introduction to computer science for non-majors using principles of computation , 2007, SIGCSE.
[7] A. Bundy. Computational Thinking is Pervasive , 2007 .
[8] Sargur N. Srihari,et al. Comparison of statistical models for writer verification , 2009, Electronic Imaging.
[9] Ordway Hilton,et al. Scientific Examination Of Questioned Documents , 1992 .
[10] Sargur N. Srihari,et al. Questioned document workflow for handwriting with automated tools , 2011, Electronic Imaging.
[11] W. Marsden. I and J , 2012 .
[12] Sargur N. Srihari,et al. On methods for incorporating evidences into posterior scoring of hypotheses , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[13] Sargur N. Srihari,et al. Computer-Assisted Handwriting Analysis: Interaction with Legal Issues in U.S. Courts , 2009, International Workshop on Computational Forensics.
[14] R. Muehlberger,et al. A Statistical Examination of Selected Handwriting Characteristics , 1977 .
[15] Sargur N. Srihari,et al. On Computing Strength of Evidence for Writer Verification , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).
[16] Sargur N. Srihari,et al. Mapping Transcripts to Handwritten Text , 2006 .
[17] Sargur N. Srihari,et al. Integration of hand-written address interpretation technology into the United States Postal Service Remote Computer Reader system , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.
[18] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[19] S N Srihari. Computing the scene of a crime , 2010, IEEE Spectrum.
[20] Sargur N. Srihari,et al. A statistical approach to line segmentation in handwritten documents , 2007, Electronic Imaging.
[21] Sargur N. Srihari,et al. A Survey of Computer Methods in Forensic Document Examination , 2003 .
[22] Harish Srinivasan,et al. On the Discriminability of the Handwriting of Twins , 2008, Journal of forensic sciences.
[23] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[24] JoAnn Buscaglia,et al. Using Automated Comparisons to Quantify Handwriting Individuality *,†,‡ , 2011, Journal of forensic sciences.
[25] Roy Huber,et al. Handwriting Identification: Facts and Fundamentals , 1999 .
[26] Davide Mazzella. Questioned Documents , 2015 .
[27] Pamela N. Gray,et al. Artificial Legal Intelligence , 1996 .
[28] Sung-Hyuk Cha,et al. Individuality of handwriting. , 2002, Journal of forensic sciences.
[29] Sargur N. Srihari. Evaluating the Rarity of Handwriting Formations , 2011, 2011 International Conference on Document Analysis and Recognition.
[30] Sargur N. Srihari,et al. On Computing Strength of Evidence for Writer Verification , 2007 .
[31] Diana Harrison,et al. Handwriting Examination: Meeting the Challenges of Science and the Law , 2009 .
[32] Sargur N. Srihari,et al. On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..