@InProceedings{Neumann-ICDAR2013,
  IS = { zkontrolovano 24 Jan 2014 },
  UPDATE  = { 2013-11-21 },
  author =      {Neumann, Luk{\' a}{\v s} and Matas, Ji{\v r}{\' i}},
  title =       {On Combining Multiple Segmentations in Scene Text Recognition},
  year =        {2013},
  pages =       {523-527},
  booktitle =   {ICDAR 2013: Proceedings of the 12th International Conference on Document Analysis and Recognition},
  publisher =   {IEEE},
  address =     {Piscataway, US},
  isbn =        {1520-5363},
  book_pages =  {1493},
  month =      {August},
  day =        {25--28},
  venue =      {Washington, DC, USA},
  annote =      {An end-to-end real-time scene text localization and
                  recognition method is presented. The three main
                  novel features are: (i) keeping multiple
                  segmentations of each character until the very last
                  st age of the processing when the context of each
                  character in a text line is known, (ii) an efficient
                  algori thm for selection of character segmentations
                  minimizing a global criterion, and (iii) showing
                  that, despit e using theoretically scale-invariant
                  methods, operating on a coarse Gaussian scale space
                  pyramid yields i mproved results as many
                  typographical artifacts are eliminated. The method
                  runs in real time and achieves state-of-the-art text
                  localization results on the ICDAR 2011 Robust
                  Reading dataset. Results are also repo rted for
                  end-to-end text recognition on the ICDAR 2011
                  dataset.},
  keywords =    {Character recognition,Context,Detectors,Image
                  segmentation,Robustness,Standards,Text reco
                  gnition,photo OCR,scene text localization,scene text
                  recognition,text-in-the-wild,unconstrained
                  end-to-end text recognition},
  prestige =   {international},
  authorship =  {50-50},
  project =     {GACR P103/12/G084},
  doi =         {10.1109/ICDAR.2013.110},
  psurl       = {http://cmp.felk.cvut.cz/~neumalu1/neumann-icdar2013.pdf},
}