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
收藏
页码：529 / 538
页数：10
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