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