DocumentCode
1640392
Title
ICDAR 2009 Handwriting Segmentation Contest
Author
Gatos, B. ; Stamatopoulos, N. ; Louloudis, G.
Author_Institution
Comput. Intell. Lab., Nat. Center for Sci. Res. Demokritos, Athens, Greece
fYear
2009
Firstpage
1393
Lastpage
1397
Abstract
The Handwriting Segmentation Contest was organized in the context of ICDAR2009 conference in order to record recent advances in off-line handwriting segmentation. This paper describes the contest details including the dataset, the ground truth and the evaluation criteria and presents the results of the 12 participating methods. The contest includes handwritten document images produced by many writers in several languages (English, French, German and Greek). These images are manually annotated in order to produce the ground truth which corresponds to the correct text line and word segmentation result. For the evaluation, a well established approach is used based on counting the number of matches between the entities detected by the segmentation algorithm and the entities in the ground truth.
Keywords
document image processing; handwriting recognition; image segmentation; text analysis; handwritten document image; off-line handwriting segmentation; text line; Benchmark testing; Computational intelligence; Handwriting recognition; Image recognition; Image segmentation; Informatics; Laboratories; Natural languages; Text analysis; Text recognition; Document Image Segmentation; Evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.245
Filename
5277779
Link To Document