Document image segmentation using fuzzy classifier and the dual-tree DWT

Author

Saeedi, Jamal ; Safabakhsh, Reza ; Mozaffari, Saeed

Author_Institution

Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran

fYear

2009

fDate

20-21 Oct. 2009

Firstpage

385

Lastpage

391

Abstract

In this paper, we propose a new method for textual areas extraction of an image using a fuzzy classifier and dual-tree discrete wavelet transform. We have extended our text extraction scheme for classification of document images into text, background, and picture components. Three class fuzzy classifiers and a morphological post-processing operation is used for this purpose. The proposed method shows better results compared to the previous wavelet-based document image segmentation algorithms.

Keywords

discrete wavelet transforms; document image processing; feature extraction; image classification; image segmentation; document image classification; document image segmentation; dual-tree discrete wavelet transform; fuzzy classifier; Clustering algorithms; Discrete wavelet transforms; Feature extraction; Filter bank; Image analysis; Image recognition; Image segmentation; Text recognition; Wavelet domain; Wavelet packets; document image segmentation; dual-tree discrete wavelet transform; fuzzy classifier; morphological post-processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Conference, 2009. CSICC 2009. 14th International CSI

Conference_Location

Tehran

Print_ISBN

978-1-4244-4261-4

Electronic_ISBN

978-1-4244-4262-1

Type

conf

DOI

10.1109/CSICC.2009.5349611

Filename

5349611