Recognition System for On-line Sketched Diagrams
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223235" target="_blank" >RIV/68407700:21230/14:00223235 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICFHR.2014.100" target="_blank" >http://dx.doi.org/10.1109/ICFHR.2014.100</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICFHR.2014.100" target="_blank" >10.1109/ICFHR.2014.100</a>
Alternative languages
Result language
angličtina
Original language name
Recognition System for On-line Sketched Diagrams
Original language description
We present our recent model of a diagram recognition engine. It extends our previous work which approaches the structural recognition as an optimization problem of choosing the best subset of symbol candidates. The main improvement is the integration ofour own text separator into the pipeline to deal with text blocks occurring in diagrams. Second improvement is splitting the symbol candidates detection into two stages: uniform symbols detection and arrows detection. Text recognition is left for postprocessing when the diagram structure is already known. Training and testing of the engine was done on a freely available benchmark database of flowcharts. We correctly segmented and recognized 93.0% of the symbols having 55.1% of the diagrams recognized without any error. Considering correct stroke labeling, we achieved the precision of 95.7%. This result is superior to the state-of-the-art method with the precision of 92.4 %. Additionally, we demonstrate the generality of the proposed met
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICFHR 2014: Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition
ISBN
978-1-4799-4334-0
ISSN
2167-6445
e-ISSN
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Number of pages
6
Pages from-to
563-568
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Crete Island
Event date
Sep 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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