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Author | Klaus Broelemann; Anjan Dutta; Xiaoyi Jiang; Josep Llados | ||||
Title | Hierarchical graph representation for symbol spotting in graphical document images | Type | Conference Article | ||
Year | 2012 | Publication | Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop | Abbreviated Journal | |
Volume | 7626 | Issue | Pages | 529-538 | |
Keywords | |||||
Abstract | 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. | ||||
Address | Miyajima-Itsukushima, Hiroshima | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-34165-6 | Medium | |
Area | Expedition | Conference | SSPR&SPR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ BDJ2012 | Serial | 2126 | ||
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