CASIA OpenIR  > 模式识别国家重点实验室  > 模式分析与学习
Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields
Kai Chen; M. Seuret; M. Liwicki; J. Hennebert; Cheng-Lin Liu; R. Ingold
2016
Conference NameICFHR
Source PublicationProc. 15th ICFHR
Pages90-95
Conference Date2016
Conference PlaceShenzhen, China
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13518
Collection模式识别国家重点实验室_模式分析与学习
Recommended Citation
GB/T 7714
Kai Chen,M. Seuret,M. Liwicki,et al. Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields[C],2016:90-95.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Kai Chen]'s Articles
[M. Seuret]'s Articles
[M. Liwicki]'s Articles
Baidu academic
Similar articles in Baidu academic
[Kai Chen]'s Articles
[M. Seuret]'s Articles
[M. Liwicki]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Kai Chen]'s Articles
[M. Seuret]'s Articles
[M. Liwicki]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.