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Gamma correction acceleration for real-time text extraction from complex colored images

Identifieur interne : 000015 ( Main/Exploration ); précédent : 000014; suivant : 000016

Gamma correction acceleration for real-time text extraction from complex colored images

Auteurs : Rostom Kachouri [France] ; Christian Armas [France] ; Mohamed Akil [France]

Source :

RBID : Hal:hal-01305887

English descriptors

Abstract

Text extraction from complex colored images involves the suppression of unwanted background while keeping text features. Imaging devices are almost omnipresent and the unrestricted conditions of the images present new challenges for real-time OCR systems. The recently proposed Gamma Correction Method [1] is a robust and good quality method for text extraction in complex colored images. However it requires a large amount of computing resources and is not well suited for real-time applications. In this paper we propose an efficient acceleration of the GCM to drastically reduce its execution-time, while preserving the text extraction quality. Experimental results on ICDAR dataset show that our approach is effective and can reach a speedup of up to 11.430.

Url:
DOI: 10.1109/ICIP.2015.7350854


Affiliations:


Links toward previous steps (curation, corpus...)


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<div type="abstract" xml:lang="en">Text extraction from complex colored images involves the suppression of unwanted background while keeping text features. Imaging devices are almost omnipresent and the unrestricted conditions of the images present new challenges for real-time OCR systems. The recently proposed Gamma Correction Method [1] is a robust and good quality method for text extraction in complex colored images. However it requires a large amount of computing resources and is not well suited for real-time applications. In this paper we propose an efficient acceleration of the GCM to drastically reduce its execution-time, while preserving the text extraction quality. Experimental results on ICDAR dataset show that our approach is effective and can reach a speedup of up to 11.430.</div>
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   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Hal:hal-01305887
   |texte=   Gamma correction acceleration for real-time text extraction from complex colored images
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Wicri

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Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024