@InProceedings{PrusaICDAR2007,
  IS = { zkontrolovano 15 Jan 2008 },
  UPDATE  = { 2007-12-21 },
  author =      {Prusa, Daniel and Hlavac, Vaclav},
  title =       {Mathematical Formulae Recognition using 2{D} Grammars},
  year =        {2007},
  pages =       {849-853},
  booktitle =   {ICDAR 2007: Proceedings of the 9th International Conference
    on Document Analysis and Recognition},
  publisher =   {IEEE Computer Society},
  address =     {Los Alamitos, USA},
  isbn =        {0-7695-2822-8},
  volume =      {2},
  book_pages =  {1293},
  month =       {September},
  day =         {23-26},
  venue =       {Curitiba, Brazil},
  organization ={IEEE Computer Society},
  annote = {We present a method for off-line mathematical formulae
    recognition based on the structural construction paradigm and
    two-dimensional grammars. In general, this approach can be
    successfully used in the analysis of images containing objects
    that exhibit rich structural relations. An important benefit of
    the structural construction is in treating the symbol segmentation
    in the image and its structural analysis as a single intertwined
    process. This allows the system to avoid errors usually appearing
    during the segmentation phase. We have developed and tested a
    pilot study proving that the method is computationally efficient,
    practical and able to cope with noise. },
  keywords =    {document analysis, mathematical formulae recognition},
  prestige =    {important},
  authorship =  {50-50},
  project =     {INTAS 04-77-7347, IST-004176 COSPAL, 1M0567},
psurl       = {[full-text (PDF)]},
}