Texture feature characterization for logical pre-labeling

Author

Allier, Bénédicte ; Duong, Jean ; Gagneux, Antoine ; Mallet, Pierre ; Emptoz, Hubert

Author_Institution

Lab. de Reconnaissance des Formes et Vision, INSA, Villeurbanne, France

fYear

2003

fDate

3-6 Aug. 2003

Firstpage

567

Abstract

In this article we present a study based on the use of texture features for logical pre-labeling. The aim of our work is to calculate a great number of texture features over three sets of machine-printed document images and to study their joint discriminant power using SVM classifiers. The three corpuses we use are: the Archives of Savoie (AoS), composed of strongly structured documents, a subset of the UW3 database, and a third that is not structured at all, since it is composed of Web site images. The originality of our contribution is to sum up various methods that have been used for many years in our domain, and to test them on documents having very different specificities.

Keywords

document image processing; feature extraction; image classification; image texture; support vector machines; Archives of Savoie; SVM classifier; UW3 database subset; Web site images; correlation matrix; logical pre-labeling; machine-printed document image; pattern recognition; principal component analysis; support vector machine; texture feature characterization; Image databases; Image recognition; Image segmentation; Labeling; Reconnaissance; Robustness; Spatial databases; Support vector machine classification; Support vector machines; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on

Print_ISBN

0-7695-1960-1

Type

conf

DOI

10.1109/ICDAR.2003.1227728

Filename

1227728