OcrV1, PascalFrancis, Corpus, bibRecord, 000585

A non-contact method of capturing low-resolution text for OCR

Identifieur interne : 000585 ( PascalFrancis/Corpus ); précédent : 000584; suivant : 000586

A non-contact method of capturing low-resolution text for OCR

Auteurs : M. Mirmehdi ; P. Clark ; J. Lam

Source :

Pattern analysis and applications [ 1433-7541 ] ; 2003.

RBID : Pascal:03-0481884

Descripteurs français

Pascal (Inist)
- Région active, Extraction forme, Reconnaissance caractère, Reconnaissance optique caractère, Appareil lecture, Aide handicapé, Robotique, Haute résolution, Système automatique, Texte, Zoom, Mosaïcisme, Basse résolution, Partitionnement image, Géométrie zoomage.

English descriptors

KwdEn :
- Active region, Automatic system, Character recognition, Handicapped aid, High resolution, Low resolution, Mosaicism, Optical character recognition, Pattern extraction, Reading device, Robotics, Text, Zoom.

Abstract

Document recognition is a lively research area with much effort concentrated on optical character recognition. Less attention is paid to locating and extracting text from the general (non-desktop, non-scanner) environment. Such contact-free extraction of text from a general scene has applications in the context of wearable computing, robotic vision, point and click document capture, or as an aid for visually handicapped people. Here, a novel automatic text reading system is introduced using an active camera focused on text regions already located in the scene (using our recent work). Initially, a located region of text is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to construct a high-resolution mosaic composite of the whole region. This magnified image of the text is suitable for reading by humans or for recognition by OCR, or even for text-to speech synthesis. Although we employed a low resolution camera, we still obtained very good results.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 03-0481884 INIST
ET :	A non-contact method of capturing low-resolution text for OCR
AU :	MIRMEHDI (M.); CLARK (P.); LAM (J.)
AF :	Department of Computer Science, University of Bristol/Bristol BS8 1UB/Royaume-Uni (1 aut., 2 aut., 3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Pattern analysis and applications; ISSN 1433-7541; Royaume-Uni; Da. 2003; Vol. 6; No. 1; Pp. 12-21; Bibl. 17 ref.
LA :	Anglais
EA :	Document recognition is a lively research area with much effort concentrated on optical character recognition. Less attention is paid to locating and extracting text from the general (non-desktop, non-scanner) environment. Such contact-free extraction of text from a general scene has applications in the context of wearable computing, robotic vision, point and click document capture, or as an aid for visually handicapped people. Here, a novel automatic text reading system is introduced using an active camera focused on text regions already located in the scene (using our recent work). Initially, a located region of text is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to construct a high-resolution mosaic composite of the whole region. This magnified image of the text is suitable for reading by humans or for recognition by OCR, or even for text-to speech synthesis. Although we employed a low resolution camera, we still obtained very good results.
CC :	001D02C03
FD :	Région active; Extraction forme; Reconnaissance caractère; Reconnaissance optique caractère; Appareil lecture; Aide handicapé; Robotique; Haute résolution; Système automatique; Texte; Zoom; Mosaïcisme; Basse résolution; Partitionnement image; Géométrie zoomage
ED :	Active region; Pattern extraction; Character recognition; Optical character recognition; Reading device; Handicapped aid; Robotics; High resolution; Automatic system; Text; Zoom; Mosaicism; Low resolution
SD :	Región activa; Extracción forma; Reconocimiento carácter; Reconocimento óptico de caracteres; Aparato lectura; Ayuda minusválido; Robótica; Alta resolucion; Sistema automático; Texto; Zoom; Mosaicismo; Baja resolución
LO :	INIST-26865.354000112924490020
ID :	03-0481884

Links to Exploration step

Pascal:03-0481884

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<AF>Department of Computer Science, University of Bristol/Bristol BS8 1UB/Royaume-Uni (1 aut., 2 aut., 3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Pattern analysis and applications; ISSN 1433-7541; Royaume-Uni; Da. 2003; Vol. 6; No. 1; Pp. 12-21; Bibl. 17 ref.</SO>
<LA>Anglais</LA>
<EA>Document recognition is a lively research area with much effort concentrated on optical character recognition. Less attention is paid to locating and extracting text from the general (non-desktop, non-scanner) environment. Such contact-free extraction of text from a general scene has applications in the context of wearable computing, robotic vision, point and click document capture, or as an aid for visually handicapped people. Here, a novel automatic text reading system is introduced using an active camera focused on text regions already located in the scene (using our recent work). Initially, a located region of text is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to construct a high-resolution mosaic composite of the whole region. This magnified image of the text is suitable for reading by humans or for recognition by OCR, or even for text-to speech synthesis. Although we employed a low resolution camera, we still obtained very good results.</EA>
<CC>001D02C03</CC>
<FD>Région active; Extraction forme; Reconnaissance caractère; Reconnaissance optique caractère; Appareil lecture; Aide handicapé; Robotique; Haute résolution; Système automatique; Texte; Zoom; Mosaïcisme; Basse résolution; Partitionnement image; Géométrie zoomage</FD>
<ED>Active region; Pattern extraction; Character recognition; Optical character recognition; Reading device; Handicapped aid; Robotics; High resolution; Automatic system; Text; Zoom; Mosaicism; Low resolution</ED>
<SD>Región activa; Extracción forma; Reconocimiento carácter; Reconocimento óptico de caracteres; Aparato lectura; Ayuda minusválido; Robótica; Alta resolucion; Sistema automático; Texto; Zoom; Mosaicismo; Baja resolución</SD>
<LO>INIST-26865.354000112924490020</LO>
<ID>03-0481884</ID>
</server>
</inist>
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A non-contact method of capturing low-resolution text for OCR

A non-contact method of capturing low-resolution text for OCR

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