OcrV1, Main, Exploration, bibRecord, 000182

Text extraction from natural scene image: A survey

Identifieur interne : 000182 ( Main/Exploration ); précédent : 000181; suivant : 000183

Text extraction from natural scene image: A survey

Auteurs : HONGGANG ZHANG [République populaire de Chine] ; KAILI ZHAO [République populaire de Chine] ; Yi-Zhe Song [Royaume-Uni] ; JUN GUO [République populaire de Chine]

Source :

Neurocomputing : (Amsterdam) [ 0925-2312 ] ; 2013.

RBID : Pascal:13-0324769

Descripteurs français

Pascal (Inist)
- Extraction information, Texte, Analyse scène, Calculateur embarqué, Traitement image, Réalité virtuelle, Interface utilisateur, Recherche information, Vision ordinateur, Localisation, Reconnaissance optique caractère, Reconnaissance caractère, Appareil photographique, Réalité augmentée, Alignement, Luminance, Procédé extraction, Extraction forme, Algorithmique, Segmentation, Eclairement, Scène naturelle, Accentuation image, Traitement image document.
Wicri :
- topic : Réalité virtuelle.

English descriptors

KwdEn :
- Algorithmics, Alignment, Augmented reality, Boarded computer, Camera, Character recognition, Computer vision, Document image processing, Extraction process, Illumination, Image enhancement, Image processing, Information extraction, Information retrieval, Localization, Luminance, Natural scenes, Optical character recognition, Pattern extraction, Scene analysis, Segmentation, Text, User interface, Virtual reality.

Abstract

With the increasing popularity of portable camera devices and embedded visual processing, text extraction from natural scene images has become a key problem that is deemed to change our everyday lives via novel applications such as augmented reality. Text extraction from natural scene images algorithms is generally composed of the following three stages: (i) detection and localization, (ii) text enhancement and segmentation and (iii) optical character recognition (OCR). The problem is challenging in nature due to variations in the font size and color, text alignment, illumination change and reflections. This paper aims to classify and assess the latest algorithms. More specifically, we draw attention to studies on the first two steps in the extraction process, since OCR is a well-studied area where powerful algorithms already exist. This paper offers to the researchers a link to public image database for the algorithm assessment of text extraction from natural scene images.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000043
to stream PascalFrancis, to step Curation: 000725
to stream PascalFrancis, to step Checkpoint: 000025
to stream Main, to step Merge: 000185
to stream Main, to step Curation: 000182

Le document en format XML

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<front><div type="abstract" xml:lang="en">With the increasing popularity of portable camera devices and embedded visual processing, text extraction from natural scene images has become a key problem that is deemed to change our everyday lives via novel applications such as augmented reality. Text extraction from natural scene images algorithms is generally composed of the following three stages: (i) detection and localization, (ii) text enhancement and segmentation and (iii) optical character recognition (OCR). The problem is challenging in nature due to variations in the font size and color, text alignment, illumination change and reflections. This paper aims to classify and assess the latest algorithms. More specifically, we draw attention to studies on the first two steps in the extraction process, since OCR is a well-studied area where powerful algorithms already exist. This paper offers to the researchers a link to public image database for the algorithm assessment of text extraction from natural scene images.</div>
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Text extraction from natural scene image: A survey

Text extraction from natural scene image: A survey

Source :

Descripteurs français

English descriptors

Abstract

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

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri