Segmentation of cursive handwritten words using hypergraph

被引：0
|
作者：
Lakshmi, P. Samrajya [1 ]
Hanmandlu, M. [2 ]
Swaroop, A. [1 ]
机构：
[1] NIT, Kurukshetra 136119, Haryana, India
[2] IIT, New Delhi 110016, India
来源：
TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Segmentation is a crucial step in the cursive script recognition process. A higher recognition rate is achieved if the characters of a word are correctly isolated. In this paper segmentation using Hypergraph model is investigated. Hypergraph model treats an image as packets of pixels. By recombining these packets of different sizes a given image can be segmented with the guarantee that at least one of the combinations provides a correct segmentation.
引用
收藏
页码：1091 / +
页数：2
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