Simultaneous Segmentation and Recognition of Graphical Symbols using a Composite Descriptor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212520" target="_blank" >RIV/68407700:21230/13:00212520 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/bresler/Bresler-Prusa-Hlavac-CVWW-2013.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/bresler/Bresler-Prusa-Hlavac-CVWW-2013.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Simultaneous Segmentation and Recognition of Graphical Symbols using a Composite Descriptor
Original language description
This work deals with recognition of hand-drawn graphical symbols in diagrams. We present two contributions. First, we designed a new composite descriptor expressing overall appearance of symbols. We achieved rather favorable accuracy in classification ofsegmented symbols on benchmark databases, which is 98.93 prec. for a database of flow charts, 98.33 prec. for a database of crisis management icons, and 92.94 perc. for a database of digits. Second, we used the descriptor in the task of simultaneous segmentation and recognition of graphical symbols. Our method creates symbol candidates by grouping spatially close strokes. Symbol candidates are classified by a multiclass SVM classifier learned on a dataset with negative examples. Thus, some portion of the candidates is filtered out. The joint segmentation and classification was tested on diagrams from the flowchart database. We were able to find 91.85 prec. of symbols while generating 8.8 times more symbol candidates than is the number
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F10%2F0783" target="_blank" >GAP103/10/0783: Structure and its impact for recognition</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVWW 2013: Proceedings of the 18th Computer Vision Winter Workshop
ISBN
978-3-200-02943-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
16-23
Publisher name
Vienna University of Technology
Place of publication
Vienna
Event location
Hernstein
Event date
Feb 4, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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