Iterative sub-image binarization for document images

被引：0
|
作者：
Dawoud, A [1 ]
Kamel, M [1 ]
机构：
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Existing binarization methods are categorized as either global or local. In this paper we present a new category, where the image is considered as a collection of sub-images. Each sub-image provides a statistical model for the handwritten characters that will be used to optimize the binarization of other sub-images. This method can be applied to different types of documents and doesn't require any prior knowledge about the noisiness of the sub-images.
引用
收藏
页码：553 / 556
页数：4
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