A Graph Based Data Model for Graphics Interpretation

A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as higher level processing. To improve algorithmic efficiency, spatial indexing can be applied. Implementation aspects are discussed as well. An earlier version of the DG model has been applied for interpretation of Hungarian cadastral maps. Although this paper gives examples of map interpretation, our concept can be extended to other fields of graphics recognition.

• Type: Conference
• Year: 2009
• Where: GBRPR
• Authors: Endre Katona
• Keywords: DG Model, GBRPR 2009, Level Graph Algorithms, Pattern Recognition, Universal Data Model