About: Recognition System for On-line Sketched Diagrams

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 of our 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 method by adapting the system to finite automata domain and evaluating it on own database of such diagrams. 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 of our 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 method by adapting the system to finite automata domain and evaluating it on own database of such diagrams. (en)
Title	Recognition System for On-line Sketched Diagrams Recognition System for On-line Sketched Diagrams (en)
skos:prefLabel	Recognition System for On-line Sketched Diagrams Recognition System for On-line Sketched Diagrams (en)
skos:notation	RIV/68407700:21230/14:00223235!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP103/10/0783), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Hlaváč, Václav Průša, Daniel Bresler, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	41609
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00223235
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Diagram recognition; Structural-Analysis; Max-Sum; Optimization; Flowcharts; Finite Automata (en)
http://linked.open.../riv/klicoveSlovo	Optimization Diagram recognition Flowcharts Max-Sum Structural-Analysis Finite Automata
http://linked.open...ontrolniKodProRIV	[EFC77AB2957D]
http://linked.open...v/mistoKonaniAkce	Crete Island
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	ICFHR 2014: Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Structure and its impact for recognition
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bresler, Martin Hlaváč, Václav Průša, Daniel Nakagawa, M. Van Phan, T.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-01 (xsd:date)
issn	2167-6445
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/ICFHR.2014.100
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society Press
https://schema.org/isbn	978-1-4799-4334-0
http://localhost/t...ganizacniJednotka	21230

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