A knowledge-based recognition system for historical Mongolian documents
暂无分享,去创建一个
[1] Amjad Rehman,et al. Methods and strategies on off-line cursive touched characters segmentation: a directional review , 2014, Artificial Intelligence Review.
[2] Guanglai Gao,et al. A keyword retrieval system for historical Mongolian document images , 2014, International Journal on Document Analysis and Recognition (IJDAR).
[3] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[4] Dumitru Erhan,et al. Deep Neural Networks for Object Detection , 2013, NIPS.
[5] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[6] Yasser M. Alginahi,et al. A survey on Arabic character segmentation , 2012, International Journal on Document Analysis and Recognition (IJDAR).
[7] Yann LeCun,et al. Convolutional neural networks applied to house numbers digit classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[8] Brijesh Verma,et al. Binary segmentation algorithm for English cursive handwriting recognition , 2012, Pattern Recognit..
[9] Guanglai Gao,et al. Classical Mongolian Words Recognition in Historical Document , 2011, 2011 International Conference on Document Analysis and Recognition.
[10] Brijesh Verma,et al. Segment confidence-based binary segmentation (SCBS) for cursive handwritten words , 2011, Expert Syst. Appl..
[11] Liang Xu,et al. Touching Character Splitting of Chinese Handwriting Using Contour Analysis and DTW , 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).
[12] Ching Y. Suen,et al. Holistic Urdu Handwritten Word Recognition Using Support Vector Machine , 2010, 2010 20th International Conference on Pattern Recognition.
[13] Hua Wang,et al. Multi-font printed Mongolian document recognition system , 2010, Electronic Imaging.
[14] Guanglai Gao,et al. Machine-Printed Traditional Mongolian Characters Recognition Using BP Neural Networks , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.
[15] Zaher Al Aghbari,et al. HAH manuscripts: A holistic paradigm for classifying and retrieving historical Arabic handwritten documents , 2009, Expert Syst. Appl..
[16] S. Amirhassan Monadjemi,et al. Recognition-based Segmentation in Persian Character Recognition , 2008 .
[17] Yan Zhang,et al. Segmentation of Touching Characters in Mathematical Expressions Using Contour Feature Technique , 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).
[18] Peng Liu,et al. A Design for an Online RSS Reader Based On AJAX , 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).
[19] Ho Joon Kim,et al. Human Action Recognition Using a Modified Convolutional Neural Network , 2007, ISNN.
[20] Xiaoqing Ding,et al. Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition , 2006, SACH.
[21] Michael Blumenstein,et al. The neural-based segmentation of cursive words using enhanced heuristics , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).
[22] Samy Bengio,et al. Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition , 2002, Pattern Recognit. Lett..
[23] Graham Leedham,et al. Knowledge-based English cursive script segmentation , 2000, Pattern Recognit. Lett..
[24] Urs Ramer,et al. An iterative procedure for the polygonal approximation of plane curves , 1972, Comput. Graph. Image Process..
[25] Rasmus Berg Palm,et al. Prediction as a candidate for learning deep hierarchical models of data , 2012 .
[26] Ghazali Sulong,et al. Improved Offline Connected Script Recognition Based on Hybrid Strategy , 2010 .
[27] Marcus Liwicki,et al. Recognition of handwritten historical documents: HMM-adaptation vs. writer specific training , 2008 .
[28] Li Wei,et al. A Design and Implementation of Element Segmentationin the Recognition of Printed Mongolian Characters , 2003 .
[29] Nobuyuki Otsu,et al. ATlreshold Selection Method fromGray-Level Histograms , 1979 .
[30] N. Otsu. A Threshold Selection Method from Gray-Level Histograms , 1979, IEEE Trans. Syst. Man Cybern..