DocumentCode :
2629301
Title :
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
Link To Document :
بازگشت