[1]许肖,顾磊. 复杂背景下文本检测研究[J].计算机技术与发展,2015,25(03):40-44.
　XU Xiao,GU Lei. Research on Text Detection under Complex Background[J].,2015,25(03):40-44.
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 复杂背景下文本检测研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年03期
页码:
40-44
栏目:
智能、算法、系统工程
出版日期:
2015-03-10

文章信息/Info

Title:
 Research on Text Detection under Complex Background
文章编号:
1673-629X（2015)03-0040-05
作者:
 许肖; 顾磊
 南京邮电大学
Author(s):
 XU Xiao; GU Lei
关键词:
 ; 文本检测; 机器学习; 特征提取; 评价方法
Keywords:
 ; text detection; machine learning; feature extraction; evaluation method
分类号:
TP311
文献标志码:
A
摘要:
 在复杂背景下，图像中的文本对于整个图像的语义理解、图像检索、图像识别等应用具有非常重要的作用，有广阔的发展空间，而要获取图像中的文本就需要利用文本检测方法。在搜集整理当前文本检测研究成果的基础上，对文本检测基本方法进行了分类和探讨。分别从基于特征提取、基于机器学习以及基于这两者相结合方法这三个方面对文本检测方法进行详细的阐述；接下来介绍了两种较通用的文本检测结果的评价方法。此外还通过实例分析了各种检测方法的优点和不足，在此基础上，为文本检测的进一步发展提供了建议。
Abstract:
 Under complex background,the text in the image plays a very important role for semantic understanding of image,image re-trieval and image recognition and other application,with broad development space,and to get the text in the image need to use text detec-tion method. In this paper,based on collecting and arranging the current text detection results,the basic methods of text detection are clas-sified and discussed. Illustrate the text detection method in three aspect including feature extraction based,machine learning based,and combination of both in detail. Then introduce two common evaluation method of text detection results. Moreover,a brief analysis is made to introduce the advantages and disadvantages of these three kinds of methods. On the basis of this,put forward some suggestion to the de-velopment direction of the future for the text detection.

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更新日期/Last Update: 2015-04-30