DocumentCode :
3590450
Title :
Printed text featuring using the visual criteria of legibility and complexity
Author :
Eglin, Veronique ; Bres, Stephane ; Emptoz, Hubert
Author_Institution :
Lab. de Reconnaissance de Formes et Vision, Inst. Nat. des Sci. Appliquees, Villeurbanne, France
Volume :
1
fYear :
1998
Firstpage :
942
Abstract :
We present an approach to printed text characterization with a statistical analysis of texture. This method is based on a visibility and complexity criterion of type font families. The text is analyzed through its typographic form. So, we propose to label different kinds of text according to their visual aspect and their textural contents (especially their size, the line and letter spacing but also their complexity and their density). The texture is characterized with a statistical analysis based on samples randomly taken. This analysis is on the basis of text labeling. It is dedicated to the classification of texts according to their eye-catching properties. The global aim of this work is to recover the logical structure of a document according to the relative importance of font-types. This discrimination has been realized by the use of a scale of legibility, complexity, and of structural relief of forms
Keywords :
document image processing; entropy; image classification; image texture; statistical analysis; complexity; eye-catching properties; legibility; letter spacing; line spacing; printed text characterization; statistical texture analysis; text labeling; textural contents; type font families; typographic form; visual aspect; visual criteria; Graphics; Humans; Image texture analysis; Labeling; Reconnaissance; Statistical analysis; Surface texture; Text analysis; Text categorization; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711390
Filename :
711390
Link To Document :
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