Title :
A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents
Author :
Yin, Fei ; Wang, Qiu-Feng ; Liu, Cheng-Lin
Author_Institution :
Nat. Lab. of Pattern Recognition (NLPR), Chinese Acad. of Sci., Beijing, China
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.
Keywords :
document image processing; handwritten character recognition; image segmentation; natural languages; optimisation; text analysis; GTLC; alignment process; automated recognition-based tool; character recognition; character segmentation; ground-truthing text line tool; handwritten document image; offline handwritten Chinese document; optimization problem; Algorithm design and analysis; Carbon capture and storage; Character recognition; Handwriting recognition; Hidden Markov models; Image segmentation; Pattern recognition; Shape; Text analysis; Text recognition; Annotation; Document image; Ground-truthing;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.93
