CASIA OpenIR
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Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields 会议论文
Proc. 15th ICFHR, Shenzhen, China, 2016
作者:  Kai Chen;  M. Seuret;  M. Liwicki;  J. Hennebert;  Cheng-Lin Liu;  R. Ingold
收藏  |  浏览/下载:154/0  |  提交时间:2017/02/21
Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning 会议论文
Proc. 12th IAPR Workshop on DAS, Santorini, Greece , 2016
作者:  Kai Chen;  Cheng-Lin Liu;  M. Seuret;  Hao Wei;  M. Liwicki;  J. Hennebert;  R. Ingold
收藏  |  浏览/下载:124/0  |  提交时间:2017/02/21
Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions 会议论文
Proceedings of IAPR International Workshop on Document Analysis Systems, 希腊, 2016-4
作者:  Chen, Kai;  Yin, Fei;  Liu, Chenglin
浏览  |  Adobe PDF(2831Kb)  |  收藏  |  浏览/下载:344/112  |  提交时间:2016/07/14
Candidate Component Extraction  Text Contours  Stroke Interior Regions  Text Localization.  
Efficient Text Localization in Born-Digital Images by Local Contrast-Based Segmentation 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 法国南锡, 2015-8
作者:  Kai Chen;  Yin, Fei;  Liu, Chenglin
浏览  |  Adobe PDF(557Kb)  |  收藏  |  浏览/下载:341/104  |  提交时间:2016/07/14
Text Localization  Image Segmentation  Local Contrast  Connected Components Grouping  
Neural Network Based Over-Segmentation for Scene Text Recognition 会议论文
Asian Conference on Pattern Recognition, 吉隆坡, 2015-11
作者:  He X(贺欣);  Wu YC(吴一超);  Chen K(陈凯);  Yin F(殷飞);  Liu CL(刘成林);  He X(贺欣)
浏览  |  Adobe PDF(444Kb)  |  收藏  |  浏览/下载:327/96  |  提交时间:2016/06/27
场景文字识别  过切分  
Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 美国华盛顿, 2013-8
作者:  Chen, Kai;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(750Kb)  |  收藏  |  浏览/下载:372/151  |  提交时间:2015/08/19
Page Segmentation  Whitespace Rectangles Extraction  Whitespace Rectangles Grouping