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 :
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