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A multi-level component grouping algorithm and its applications

被引：0
|
作者：
Yuan, B [1 ]
Tan, CL [1 ]
机构：
[1] Natl Univ Singapore, Ctr Remote Imaging Sensing & Proc, Singapore 117548, Singapore
来源：
EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005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：
This paper describes a fast and effective component grouping algorithm for some layout analysis problems of textual document images. Based on an empirical function, it discovers neighborhood relations at the component level. Time-consuming algorithms that operate globally among components may obtain significant performance boost from the localization information that this grouping algorithm provides. Some of the applications using this grouping function are also demonstrated.
引用
收藏
页码：1178 / 1181
页数：4
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