OcrV1, PascalFrancis, Curation, bibRecord, 000577

A binarization method with learning-built rules for document images produced by cameras

Identifieur interne : 000577 ( PascalFrancis/Curation ); précédent : 000576; suivant : 000578

A binarization method with learning-built rules for document images produced by cameras

Auteurs : Chien-Hsing Chou [Taïwan] ; Wen-Hsiung Lin [Taïwan] ; FU CHANG [Taïwan]

Source :

Pattern recognition [ 0031-3203 ] ; 2010.

RBID : Pascal:10-0118750

Descripteurs français

Pascal (Inist)
- Apprentissage, Traitement image document, Brillance, Méthode statistique, Règle décision, Qualité image, Reconnaissance optique caractère, Evaluation performance, Méthode adaptative, Image binaire, Traitement image, Machine vecteur support, Reconnaissance forme, Classification signal, Classification automatique, Etiquetage multiple.
Wicri :
- topic : Méthode statistique.

English descriptors

KwdEn :
- Adaptive method, Automatic classification, Binary image, Brightness, Decision rule, Document image processing, Image processing, Image quality, Learning, Multilabeling, Optical character recognition, Pattern recognition, Performance evaluation, Signal classification, Statistical method, Support vector machine.

Abstract

In this paper, we propose a novel binarization method for document images produced by cameras. Such images often have varying degrees of brightness and require more careful treatment than merely applying a statistical method to obtain a threshold value. To resolve the problem, the proposed method divides an image into several regions and decides how to binarize each region. The decision rules are derived from a learning process that takes training images as input. Tests on images produced under normal and inadequate illumination conditions show that our method yields better visual quality and better OCR performance than three global binarization methods and four locally adaptive binarization methods.

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A11	`02`	`1`		`@1 LIN (Wen-Hsiung)`
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   |texte=   A binarization method with learning-built rules for document images produced by cameras
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A binarization method with learning-built rules for document images produced by cameras

A binarization method with learning-built rules for document images produced by cameras

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