Title:
文書視覚構造の文法的な解析
Document Type and Number:
Japanese Patent JP5031741
Kind Code:
B2
Abstract:
A two-dimensional representation of a document is leveraged to extract a hierarchical structure that facilitates recognition of the document. The visual structure is grammatically parsed utilizing two-dimensional adaptations of statistical parsing algorithms. This allows recognition of layout structures (e.g., columns, authors, titles, footnotes, etc.) and the like such that structural components of the document can be accurately interpreted. Additional techniques can also be employed to facilitate document layout recognition. For example, grammatical parsing techniques that utilize machine learning, parse scoring based on image representations, boosting techniques, and/or “fast features” and the like can be employed to facilitate in document recognition.
Inventors:
Paul A. Viola
Michael sillman
Michael sillman
Application Number:
JP2008520352A
Publication Date:
September 26, 2012
Filing Date:
June 30, 2006
Export Citation:
Assignee:
MICROSOFT CORPORATION
International Classes:
G06F17/21; G06F40/00; G06V30/10
Domestic Patent References:
| JP6215184A | ||||
| JP2002133389A | ||||
| JP2002269499A |
Foreign References:
| WO2002099545A1 | ||||
| US20050044106 |
Other References:
A.M. Namboodiri et al. ,Robust Segmentation of Unconstrained Online Handwritten Documents,Proceedings of ICVGIP'2004,Indian Unit for Pattern Recognition and Artificial Intelligence,2004年12月16日,p.165-170
Attorney, Agent or Firm:
Yoshikazu Tani
Kazuo Abe
Kazuo Abe