A non-contact method of capturing low-resolution text for OCR
Identifieur interne : 000585 ( PascalFrancis/Corpus ); précédent : 000584; suivant : 000586A non-contact method of capturing low-resolution text for OCR
Auteurs : M. Mirmehdi ; P. Clark ; J. LamSource :
- Pattern analysis and applications [ 1433-7541 ] ; 2003.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
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.
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Format Inist (serveur)
NO : | PASCAL 03-0481884 INIST |
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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 |
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Pascal:03-0481884Le document en format XML
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<ET>A non-contact method of capturing low-resolution text for OCR</ET>
<AU>MIRMEHDI (M.); CLARK (P.); LAM (J.)</AU>
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