Synchromedia Multispectral Ancient Document Images Dataset (SMADI)

Research Tasks

ICDAR 2015 MultiSpectral Text Extraction Contest (MS-TEx 2015)

2018-08-15 (v. 1)

Contact author

Abderrahmane Rahiche

Synchromedia lab, ETS, Quebec University

arahiche@yahoo.com

+1 (514) 396-8972

+1 (514) 396-8595

Description


The first competition on the MultiSpectral Text Extraction (MS-TEx) from historical document images has been organized in conjunction with the ICDAR 2015 conference. The goal of this contest is evaluation of the most recent advances in text extraction from historical document images captured by a multispectral imaging system. The MS-TEx 2015 dataset contains 10 handwritten and machine-printed historical document images along with eight spectral images for each image. This paper provides a report on the methodology and performance of the five submitted algorithms by various research groups across the world. The objective evaluation and ranking was performed by using well-known evaluation metrics of binarization and classification

Protocol

Details can be found in the reference.

FileTypeSizeDownloadsDescription
MSTEx_ICDAR15_CFP.pdfarticle(2 MB)0
MSTEX_ICDAR15.pdfarticle(1 MB)1ICDAR 2015 MultiSpectral Text Extraction Contest (MS-TEx 2015)

References

[1] R.Hedjam, HZ. Nafchi, R. Moghaddam, M. Kalacska and M. Cheriet ICDAR 2015 MultiSpectral Text Extraction Contest (MS-TEx 2015) (PDF)

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