OcrV1, Main, Exploration, bibRecord, 001637

Document image recification using fuzzy sets and morphological operators

Identifieur interne : 001637 ( Main/Exploration ); précédent : 001636; suivant : 001638

Document image recification using fuzzy sets and morphological operators

Auteurs : SHIJIAN LU [Singapour] ; Ben M. Chen [Singapour] ; C. C. Ko [Singapour]

Source :

RBID : Pascal:06-0154453

Descripteurs français

Pascal (Inist)
- Traitement image, Morphologie mathématique, Image numérique, Capteur mesure, Texte, Reconnaissance optique caractère, Reconnaissance caractère, Rectification, Distance focale, Ensemble flou, Etalonnage.

English descriptors

KwdEn :
- Calibration, Character recognition, Digital image, Focal length, Fuzzy set, Image processing, Mathematical morphology, Measurement sensor, Optical character recognition, Rectification, Text.

Abstract

In this paper, we deal with the problem of document image rectification from images captured by digital cameras. The improvement on the resolution of digital camera sensors has brought more and more applications for non-contact text capture. Unfortunately, perspective distortion coupled with resulting images makes it harder to properly identify the contents of captured texts using the traditional optical character recognition (OCR) system. We propose in this work a new technique, which is capable of removing distortion and recovering the fronto-parallel view of text with a single image. Different from reported approaches in the literature, the image rectification is carried out using character boundary and tip point, which are extracted from character strokes based on multiple fuzzy sets and morphological operators. The algorithm needs neither camera calibration nor high-contrast document boundary. Experimental results show our rectification process is fast and robust.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000402
to stream PascalFrancis, to step Curation: 000384
to stream PascalFrancis, to step Checkpoint: 000489
to stream Main, to step Merge: 001700
to stream Main, to step Curation: 001637

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we deal with the problem of document image rectification from images captured by digital cameras. The improvement on the resolution of digital camera sensors has brought more and more applications for non-contact text capture. Unfortunately, perspective distortion coupled with resulting images makes it harder to properly identify the contents of captured texts using the traditional optical character recognition (OCR) system. We propose in this work a new technique, which is capable of removing distortion and recovering the fronto-parallel view of text with a single image. Different from reported approaches in the literature, the image rectification is carried out using character boundary and tip point, which are extracted from character strokes based on multiple fuzzy sets and morphological operators. The algorithm needs neither camera calibration nor high-contrast document boundary. Experimental results show our rectification process is fast and robust.</div>
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{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:06-0154453
   |texte=   Document image recification using fuzzy sets and morphological operators
}}

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Document image recification using fuzzy sets and morphological operators

Document image recification using fuzzy sets and morphological operators

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