About: Scene Text Localization and Recognition with Oriented Stroke Detection

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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	An unconstrained end-to-end text localization and recognition method is presented. The method introduces a novel approach for character detection and recognition which combines the advantages of sliding-window and connected component methods. Characters are detected and recognized as image regions which contain strokes of specific orientations in a specific relative position, where the strokes are efficiently detected by convolving the image gradient field with a set of oriented bar filters. Additionally, a novel character representation efficiently calculated from the values obtained in the stroke detection phase is introduced. The representation is robust to shift at the stroke level, which makes it less sensitive to intra-class variations and the noise induced by normalizing character size and positioning. The effectiveness of the representation is demonstrated by the results achieved in the classification of real-world characters using an euclidian nearest-neighbor classifier trained on synthetic data in a plain form. The method was evaluated on a standard dataset, where it achieves state-of-the-art results in both text localization and recognition. An unconstrained end-to-end text localization and recognition method is presented. The method introduces a novel approach for character detection and recognition which combines the advantages of sliding-window and connected component methods. Characters are detected and recognized as image regions which contain strokes of specific orientations in a specific relative position, where the strokes are efficiently detected by convolving the image gradient field with a set of oriented bar filters. Additionally, a novel character representation efficiently calculated from the values obtained in the stroke detection phase is introduced. The representation is robust to shift at the stroke level, which makes it less sensitive to intra-class variations and the noise induced by normalizing character size and positioning. The effectiveness of the representation is demonstrated by the results achieved in the classification of real-world characters using an euclidian nearest-neighbor classifier trained on synthetic data in a plain form. The method was evaluated on a standard dataset, where it achieves state-of-the-art results in both text localization and recognition. (en)
Title	Scene Text Localization and Recognition with Oriented Stroke Detection Scene Text Localization and Recognition with Oriented Stroke Detection (en)
skos:prefLabel	Scene Text Localization and Recognition with Oriented Stroke Detection Scene Text Localization and Recognition with Oriented Stroke Detection (en)
skos:notation	RIV/68407700:21230/13:00211343!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(7E13016), P(TE01020415), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Matas, Jiří Neumann, Lukáš
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	104058
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00211343
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Character recognition; Context; Detectors; Image segmentation; Robustness; Standards; Text recognition; photo OCR; scene text localization; scene text recognition; text-in-the-wild; unconstrained end-to-end text recognition (en)
http://linked.open.../riv/klicoveSlovo	Robustness Standards Detectors Character recognition Text recognition Image segmentation Context photo OCR scene text localization scene text recognition text-in-the-wild unconstrained end-to-end text recognition
http://linked.open...ontrolniKodProRIV	[719F47496F1B]
http://linked.open...v/mistoKonaniAkce	Sydney
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	IEEE International Conference on Computer Vision (ICCV 2013)
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Mobile Assistance for Social Inclusion and Empowerment of Immigrants with Persuasive Learning Technologies and Social network Services V3C - Visual Computing Competence Center
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Matas, Jiří Neumann, Lukáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-12-01 (xsd:date)
issn	1550-5499
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/ICCV.2013.19
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-2839-2
http://localhost/t...ganizacniJednotka	21230

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