PT Unknown
AU Francisco Alvaro
   Francisco Cruz
   Joan Andreu Sanchez
   Oriol Ramos Terrades
   Jose Miguel Bemedi
TI Page Segmentation of Structured Documents Using 2D Stochastic Context-Free Grammars
BT 6th Iberian Conference on Pattern Recognition and Image Analysis
PY 2013
BP 133
EP 140
VL 7887
DI 10.1007/978-3-642-38628-2_15
AB In this paper we define a bidimensional extension of Stochastic Context-Free Grammars for page segmentation of structured documents. Two sets of text classification features are used to perform an initial classification of each zone of the page. Then, the page segmentation is obtained as the most likely hypothesis according to a grammar. This approach is compared to Conditional Random Fields and results show significant improvements in several cases. Furthermore, grammars provide a detailed segmentation that allowed a semantic evaluation which also validates this model.
ER