Scene Text Localization and Recognition with Oriented Stroke Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211343" target="_blank" >RIV/68407700:21230/13:00211343 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICCV.2013.19" target="_blank" >http://dx.doi.org/10.1109/ICCV.2013.19</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCV.2013.19" target="_blank" >10.1109/ICCV.2013.19</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Scene Text Localization and Recognition with Oriented Stroke Detection

Popis výsledku v původním jazyce

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. Charactersare 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 train

Název v anglickém jazyce

Scene Text Localization and Recognition with Oriented Stroke Detection

Popis výsledku anglicky

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. Charactersare 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 train

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Conference on Computer Vision (ICCV 2013)

ISBN

978-1-4799-2839-2

ISSN

1550-5499

e-ISSN

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Počet stran výsledku

8

Strana od-do

97-104

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Sydney

Datum konání akce

1. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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