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A multi-plane approach for text segmentation of complex document images

Author
CHEN, Yen-Lin1 ; WU, Bing-Fei2
[1] Department of Computer Science and Information Engineering, Asia University, 500 Liufeng Road, Wufeng, Taichung 41354, Taiwan, Province of China
[2] Department of Electrical and Control Engineering, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan, Province of China
Source

Pattern recognition. 2009, Vol 42, Num 7, pp 1419-1444, 26 p ; ref : 45 ref

CODEN
PTNRA8
ISSN
0031-3203
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Complex document images Document image processing Image segmentation Multilevel thresholding Region segmentation Text extraction
Keyword (fr)
Détection seuil Extraction caractéristique Extraction objet Histogramme Localisation Méthode adaptative Méthode section divisée Région intérêt Segmentation image Système n niveaux Texture Traitement image document Traitement image Traitement signal Arrière plan
Keyword (en)
Threshold detection Feature extraction Object extraction Histogram Localization Adaptive method Multistage method Interest region Image segmentation Multilevel system Texture Document image processing Image processing Signal processing Background
Keyword (es)
Detección umbral Extracción objeto Histograma Localización Método adaptativo Región interès Sistema n niveles Textura Procesamiento imagen Procesamiento señal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05D Miscellaneous

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
21378903

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

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