Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37657
Title: A two-stage binarization approach for document images
Authors: Chi, Z 
Wong, KW
Keywords: Document image processing
Neural nets
Text analysis
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001, 02 May 2001-04 May 2001, Hong Kong, p. 275-278 How to cite?
Abstract: Binarization of a gray scale document image is one of the most important steps for automatic document processing. The paper presents a two-stage document image binarization approach. The approach applies a region based binarization technique first to the whole image and utilizes a neural network based binarization technique to those text blocks in which a good character segmentation cannot be achieved at the first stage. Experimental results on a number of document images show that our two-stage binarization approach performs better than other binarization techniques in terms of character segmentation quality and computing time
URI: http://hdl.handle.net/10397/37657
ISBN: 962-85766-2-3
DOI: 10.1109/ISIMP.2001.925387
Appears in Collections:Conference Paper

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