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.
CITATION STYLE
Sánchez, G., Lladós, J., & Tombre, K. (2002). An error-correction graph grammar to recognize texture symbols. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2390, pp. 128–138). Springer Verlag. https://doi.org/10.1007/3-540-45868-9_10
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