Multiscale segmentation of unstructured document pages using soft decision integration

Author

Etemad, Kamran ; Doermann, David ; Chellappa, Rama

Author_Institution

Center for Autom. Res., Maryland Univ., College Park, MD, USA

Volume

19

Issue

1

fYear

1997

fDate

1/1/1997 12:00:00 AM

Firstpage

92

Lastpage

96

Abstract

We present an algorithm for layout-independent document page segmentation based on document texture using multiscale feature vectors and fuzzy local decision information. Multiscale feature vectors are classified locally using a neural network to allow soft/fuzzy multi-class membership assignments. Segmentation is performed by integrating soft local decision vectors to reduce their “ambiguities”

Keywords

document image processing; feature extraction; feedforward neural nets; fuzzy set theory; image segmentation; image texture; uncertainty handling; wavelet transforms; context dependent classification; document processing; document texture; feedforward neural network; fuzzy membership assignments; multiscale feature vectors; multiscale segmentation; soft decision integration; unstructured document pages; wavelet packets; Background noise; Context; Electronic mail; Fuzzy neural networks; Graphics; Image segmentation; Image storage; Information analysis; Layout; Neural networks; Performance analysis; Wavelet analysis; Wavelet packets; White spaces;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.566817

Filename

566817