Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images

被引：0

作者：

Broelemann, Klaus ^{[1
]}

Dutta, Anjan ^{[2
]}

Jiang, Xiaoyi ^{[1
]}

Llados, Josep ^{[2
]}

机构：

[1] Univ Munster, Inst Comp Sci, Munster, Germany

[2] Univ Autonoma Barcelona, Comp Vis Ctr, Barcelona, Spain

来源：

STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION | 2012年 / 7626卷

关键词：

hierarchical graph representation; graph matching; maximal clique finding; symbol spotting; graphics recognition; PATTERN-RECOGNITION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Symbol spotting can be defined as locating given query symbol in a large collection of graphical documents. In this paper we present a hierarchical graph representation for symbols. This representation allows graph matching methods to deal with low-level vectorization errors and, thus, to perform a robust symbol spotting. To show the potential of this approach, we conduct an experiment with the SESYD dataset.

引用

页码：529 / 538

页数：10

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