This code generates synthetic word images corresponding
to lexicon word list in all the fonts we used in our 
ICDAR 2013 paper. 
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Please follow the following steps to run this code:

1. Prepare a structure testdata for each datasets. 
   The structure should have following fields:
   
   (i).    ImgName

   (ii).   GroundTruth

   (iii).  smallLexi

2. Keep testdata.mat in folder named as dataset.

3. We provide step-1 and 2 done with this code for SVT-WORD*.

4. run: param=GetLocalParam; 

5. run: CreateSyn(param) %% Requires fonts of goodFonts.txt 
                          and ImageMagic in the system


This will generate synthetic words with different fonts for all the
lexicon words of SVT.
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If you use this code please cite our following paper:
@InProceedings{GoelIDAR13,
  author    = "Goel, V. and Mishra, A. and Alahari, K. and Jawahar, C.~V.",
  title     = "Whole is Greater than Sum of Parts: Recognizing Scene Text Words",
  booktitle = "ICDAR",
  year      = "2013"
 }

*Since SVT-WORD is originally taken from: http://vision.ucsd.edu/~kai/svt/. 
The following paper should be cited when using this dataset.

@InProceedings{Wang11,
  author    = "Wang, K. and Babenko, B. and Belongie, S.",
  title     = "End-to-end Scene Text Recognition",
  booktitle = "ICCV",
  year      = "2011"
}

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For any queries about this code contact: anand.mishra@research.iiit.ac.in


