DocumentCode :
2141679
Title :
Document Analysis Algorithm Contributions in End-to-End Applications: Report on the ICDAR 2011 Contest
Author :
Lamiroy, Bart ; Lopresti, Daniel ; Sun, Tao
Author_Institution :
LORIA, Nancy Univ., Nancy, France
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
1521
Lastpage :
1525
Abstract :
This contest aims to provide a metric giving indications on the influence of individual document analysis stages to overall end-to-end applications. Contestants are provided with a full, working pipeline which operates on a page image to extract useful information. The pipeline is built with clearly identified analysis stages (e.g. binarization, skew detection, layout analysis, OCR) that have a formalized input and output. Contestants are invited to contribute their own algorithms as an alternative to one or more of the initially provided stages. The evaluation measures the overall impact of the contributed algorithm on the final (end-of-pipeline) output.
Keywords :
document image processing; feature extraction; optical character recognition; ICDAR 2011 contest; document analysis algorithm contribution; end-to-end application; identified analysis stage; information extraction; page image; Algorithm design and analysis; Bismuth; Layout; Optical character recognition software; Pipelines; Text analysis; benchmark; document analysis; performance evaluation; web-service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
1520-5363
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2011.302
Filename :
6065252
Link To Document :
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