Difference between revisions of "Braille Dataset - Shiraz University"

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This dataset comprises 62 Braille documents with -25 to 25 degree of rotation(-25, -15, 0 , 15, 25) with different page scales. The documents are scanned by HP G4010 scanner with resolution 72 dpi and the rotation of documents is done by software.
 
This dataset comprises 62 Braille documents with -25 to 25 degree of rotation(-25, -15, 0 , 15, 25) with different page scales. The documents are scanned by HP G4010 scanner with resolution 72 dpi and the rotation of documents is done by software.
 
 
=Related Datasets=
 
* [http://www.simbiosys.ca/clide/validation.html CLiDE (Chemical Literature Data Extraction)] Validation Set.
 
* [http://cactus.nci.nih.gov/osra/ OSRA: Optical Structure Recognition]. Validation data of US Patent.
 
 
=Related Ground Truth Data=
 
* [[ChemInfty - Chemical Structure GT]]
 
 
=Related Tasks=
 
None defined
 
  
 
=References=
 
=References=
# IJDAR paper under review
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# M. Yousefi, M. Famouri, B. Nasihatkon, Z. Azimifar, P. Fieguth, "A robust probabilistic Braille recognition system", International Journal on Document Analysis and Recognition, September 2012, Volume 15, Issue 3, pp 253-266
  
 
=Submitted Files=
 
=Submitted Files=

Latest revision as of 10:55, 6 November 2012

Datasets -> Datasets List -> Current Page

Created: 2010-07-07
Last updated: 2012-11-06

Contact Author

Seyed Mahmoud Famouri (famouri@cse.shirazu.ac.ir),
Department of Computer Science and Engineering, 
Shiraz University
Iran

Current Version

1.0

Keywords

Braille, Modelling, Pattern Recognition, Parameter Selection, Classification, HMM, Expectation Maximization

Description

Sample part of a Braille document from the dataset

This dataset comprises 62 Braille documents with -25 to 25 degree of rotation(-25, -15, 0 , 15, 25) with different page scales. The documents are scanned by HP G4010 scanner with resolution 72 dpi and the rotation of documents is done by software.

References

  1. M. Yousefi, M. Famouri, B. Nasihatkon, Z. Azimifar, P. Fieguth, "A robust probabilistic Braille recognition system", International Journal on Document Analysis and Recognition, September 2012, Volume 15, Issue 3, pp 253-266

Submitted Files

Version 1.0


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