Computer perception of repetitive textures
Computer perception of repetitive textures
A syntactic geometric approach to recognition of dimensions in engineering machine drawings
Computer Vision, Graphics, and Image Processing
Handbook of graph grammars and computing by graph transformation: volume I. foundations
Handbook of graph grammars and computing by graph transformation: volume I. foundations
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
A mean string algorithm to compute the average among a set of 2D shapes
Pattern Recognition Letters
A String Based Method to Recognize Symbols and Structural Textures in Architectural Plans
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A model for image generation and symbol recognition through the deformation of lineal shapes
Pattern Recognition Letters
An Algorithm for Hypergraph Completion According to Hyperedge Replacement Grammars
ICGT '08 Proceedings of the 4th international conference on Graph Transformations
Graph transformation in document image analysis: approaches and challenges
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
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This paper presents an algorithm for recognizing symbols with textured elements in a graphical document. A region adjacency graph represents the document. The texture symbols are modeled by a graph grammar. An inference algorithm is applied to learn such grammar from an instance of the texture. For recognition, a parsing process is applied. Since documents present distortions, error-correcting rules are added to the grammar.