A tool for ground-truthing text lines and characters in off-line handwritten Chinese documents

Fei Yin*, Qiu Feng Wang, Cheng Lin Liu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

15 Citations (Scopus)

Abstract

Annotating the regions, text lines and characters of document images is an important, but tedious and expensive task. A ground-truthing tool may largely alleviate the human burden in this process. This paper describes an automated recognition-based tool GTLC for finding the best alignment between the text transcript and the connected components of unconstrained handwritten document image. The alignment process is formulated as an optimization problem involving candidate character segmentation and recognition. We have validated the effectiveness of this tool and have used it for annotating a large number of handwritten Chinese documents.

Original languageEnglish
Title of host publicationICDAR2009 - 10th International Conference on Document Analysis and Recognition
Pages951-955
Number of pages5
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventICDAR2009 - 10th International Conference on Document Analysis and Recognition - Barcelona, Spain
Duration: 26 Jul 200929 Jul 2009

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Conference

ConferenceICDAR2009 - 10th International Conference on Document Analysis and Recognition
Country/TerritorySpain
CityBarcelona
Period26/07/0929/07/09

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