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[1]黄剑华,唐降龙,刘家锋,等.一种基于Homogeneity的文本检测新方法[J].智能系统学报,2007,2(01):69-73.
　HUANG Jian-hua,TANG Xiang-long,LIU Jia-feng,et al.A new method for text detection based on Homogeneity[J].CAAI Transactions on Intelligent Systems,2007,2(01):69-73.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第2卷
期数:
2007年01期
页码:
69-73
栏目:
出版日期:
2007-02-25

文章信息/Info

Title:
A new method for text detection based on Homogeneity
文章编号:
1673-4785(2007)01-0069-05
作者:
黄剑华; 唐降龙; 刘家锋; 徐莉莉
哈尔滨工业大学计算机科学与技术学院，黑龙江哈尔滨150001
Author(s):
HUANG Jian-hua; TANG Xiang-long; LIU Jia-feng; XU Li-li
School of Computer Science and Technology, Harbin Institute of Technology, Harbi n 150001, China
关键词:
文本检测; 特征提取; Homogeneity; 支持向量机
Keywords:
text detection; feature extraction; Homogeneity; SVM
分类号:
TP391.2
文献标志码:
A
摘要:
视频图像中的文本包含了丰富的语义层次上的内容描述信息，为基于语义的图像检索提供重要的索引信息资源.提出了一种基于Homogeneity和支持向量机(support vector machine)的视频图像中文本检测方法，首先将图像由空间域映射到Homogeneity域中，然后对映射到Homogeneity空间中的图像进行特征提取，利用SVM判别文本区域.实验表明此文本检测方法优于用基于边缘特征的文本检测方法.
Abstract:
Text data presented in images and video contains useful and important semantic information for automatic indexing. In this paper, a method for text d etection based on homogeneity and SVM is proposed. First an original image is m apped from space domain to homogeneity domain, and then text region property is conf irmed by SVM trained to extract property feature in homogeneity domain. Comparis on with the text detection method based on edge features shows that the proposed method has a better accuracy.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2006-03-07.
基金项目:国家自然科学基金资助项目（60573071）
作者简介：
黄剑华，男，1967年生，副研究员，中国计算机学会会员.主要研究方向为人工智能、模式识别、图像处理、自然环境下文本认知、人体运动智能分析等. E-mail：jhhuang@hit.edu.cn
唐降龙，男，1960年生，教授，博士生导师，主要研究方向为模式识别、人体运动智能分析、人工智能、图象处理医学图象处理、人体生物特征身份鉴别等. 哈尔滨工业大学计算机学院模式识别研究中心主任，中国计算机学会会员，黑龙江省人工智能学会副理事长. 
刘家锋，男，1968年生，副教授，主要研究方向为人工智能、模式识别、中文信息处理等.
更新日期/Last Update: 2009-05-05