DocumentCode
384099
Title
Features for printed document image analysis
Author
Duong, Jean ; Emptoz, Hubert ; Côté, Myriam
Author_Institution
Lab. de Reconnaissance de Formes et Vision, Inst. Nat. des Sci. Appliquees de Lyon, Villeurbanne, France
Volume
3
fYear
2002
fDate
2002
Firstpage
245
Abstract
This paper presents features for text/non-text area separation in printed document images. First, it introduces entropic discrimination, i.e., a simple separation using only one feature. Then, a brief recall on existing texture and geometric discriminant parameters proposed in previous research (2001, 2002) is included. Several of them are statistically examined.
Keywords
document image processing; entropy; feature extraction; learning (artificial intelligence); pattern classification; document zone classification; entropic discrimination; entropy; feature extraction; geometric discriminant parameters; printed document image analysis; text separation; training set; Entropy; Graphics; Histograms; Image analysis; Image texture analysis; Information analysis; Labeling; Optical character recognition software; Reconnaissance; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047840
Filename
1047840
Link To Document