Automatic text location using cluster-based template matching

被引：0

作者：

Kim, EY ^{[1
]}

Chang, JS ^{[1
]}

Kim, HJ ^{[1
]}

机构：

[1] Konkuk Univ, Sch Internet & Media, Seoul, South Korea

来源：

16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL III, PROCEEDINGS | 2002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 proposes a method for automatic text location in images including multi-segment characters. Accordingly, we use shape information in addition to size and location information. This shape information is represented by cluster-based templates obtained from target characters using K-means clustering algorithm. Experimental results show the effectiveness of the proposed method.

引用

页码：423 / 426

页数：4

共 5 条

[1] Review of image and video indexing techniques [J].