A Region-Based Hashing Approach for Symbol Spotting in Technical Documents
Identifieur interne : 000D01 ( Main/Merge ); précédent : 000D00; suivant : 000D02A Region-Based Hashing Approach for Symbol Spotting in Technical Documents
Auteurs : Marçal Rusi Ol [Espagne] ; Josep Llad S [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: In this paper a geometric hash function able to cluster similar shapes and its use for symbol spotting in technical documents is presented. A very compact representation of features describing each primitive composing a symbol are used as key indexes of a hash table. When querying a symbol in this indexing table a voting scheme is used to validate the hypothesis of where this symbol is likely to be found. This hashing technique aims to perform a fast spotting process to find candidate locations needing neither a previous segmentation step nor a priori knowledge or learning step involving multiple instances of the object to recognize.
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DOI: 10.1007/978-3-540-88188-9_11
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<front><div type="abstract" xml:lang="en">Abstract: In this paper a geometric hash function able to cluster similar shapes and its use for symbol spotting in technical documents is presented. A very compact representation of features describing each primitive composing a symbol are used as key indexes of a hash table. When querying a symbol in this indexing table a voting scheme is used to validate the hypothesis of where this symbol is likely to be found. This hashing technique aims to perform a fast spotting process to find candidate locations needing neither a previous segmentation step nor a priori knowledge or learning step involving multiple instances of the object to recognize.</div>
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