DocumentCode
3490400
Title
ICDAR 2013 Document Image Skew Estimation Contest (DISEC 2013)
Author
Papandreou, A. ; Gatos, Basilis ; Louloudis, Georgios ; Stamatopoulos, Nikolaos
Author_Institution
Comput. Intell. Lab., Inst. of Inf. & Telecommun., Athens, Greece
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
1444
Lastpage
1448
Abstract
The detection and correction of document skew is one of the most important document image analysis steps. The ICDAR2013 Document Image Skew Estimation Contest (DISEC´13) is the first contest which is dedicated to record recent advances in the field of skew estimation using well established evaluation performance measures on a variety of printed document images. The benchmarking dataset that is used contains 1550 images that were obtained from various sources such as newspapers, scientific books and dictionaries. The document images contain figures, tables, diagrams, architectural plans, electrical circuits and they are written in various languages such as English, Chinese and Greek. This paper describes the details of the contest including the evaluation measures used as well as the performance of the twelve methods submitted by ten different groups along with a short description of each method.
Keywords
document image processing; object detection; Chinese language; English language; Greek language; ICDAR2013 document image skew estimation contest; architectural plans; diagrams; dictionaries; document image analysis; document skew correction; document skew detection; electrical circuits; evaluation performance measures; figures; international conference on document analysis and recognition; newspapers; printed document images; scientific books; tables; Benchmark testing; Educational institutions; Estimation; Robustness; Text analysis; Transforms; contest; document image preprocessing; performance evaluation; skew estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.291
Filename
6628852
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