Treffer: Two thresholding for deriving the bi-level document image

Title:
Two thresholding for deriving the bi-level document image
Authors:
CHEN, Yu-Kumg, CHANG, Yi-Fan
Source:
Advances in image and video technology (First pacific rim symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006)0PSIVT 2006. :228-237
Publisher Information:
Berlin; Heidelberg: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 11 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Optics, Optique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Détection seuil, Threshold detection, Detección umbral, Histogramme, Histogram, Histograma, Image numérique, Digital image, Imagen numérica, Logique floue, Fuzzy logic, Lógica difusa, Moyenne mobile, Moving average, Promedio móvil, Numérisation, Digitizing, Numerización, Ombre, Shadow, Sombra, Reconnaissance optique caractère, Optical character recognition, Reconocimento óptico de caracteres, Segmentation, Segmentación, Traitement image, Image processing, Procesamiento imagen, Traitement information, Information processing, Procesamiento información, Traitement numérique, Digital processing, Tratamiento digital
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electronic Engineering Huafan University, Taipei, Tawain, Province of China
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19008231
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19008231
Database:
PASCAL Archive

Weitere Informationen

Optical character recognition occupies a very important field in digital image processing. It is used extensively in daily life. If the given image does not have a bimodal intensity histogram, it will cause segmenting mistake easily for the previous algorithms of image binarization. In order to solve this problem, a new algorithm is proposed in this paper. The proposed algorithm uses the theory of moving average on the histogram of the fuzzy image, and then derives the better histogram. Since use only one thresholding value cannot solve this problem completely, the edge information and the window processing are introduced in this paper for advanced thresholding. Thus, a more refine bi-level image is derived and it will result in the improvement of optical character recognition. Experiments are carried out for some samples with shading to demonstrate the computational advantage of the proposed method.