| 自然场景下的文本定位 |
| |
| 引用本文： | 胡倩,洪留荣,马玲玲. 自然场景下的文本定位[J]. 数字社区&智能家居, 2013, 0(8): 5121-5125 |
| |
| 作者姓名： | 胡倩 洪留荣 马玲玲 |
| |
| 作者单位： | 淮北师范大学计算机科学与技术学院,安徽淮北235000 |
| |
| 摘 要： | 首先阐述了文本定位的基本流程,然后列举了现有的主要文本定位方法,分析了基于区域、纹理、边缘、角点的文本定位方法和机器学习的文本定位方法的优缺点,详细说明了文本区域验证和文本块区域合并的方法,最后总结了各种文本定位方法。
|
| 关 键 词： | 文本定位 连通区域 图像纹理 自然场景 区域合并 |
Text Detection in Natural Scene Images |
| |
| HU Qian,HONG Liu-rong,MA Ling-ling. Text Detection in Natural Scene Images[J]. Digital Community & Smart Home, 2013, 0(8): 5121-5125 |
| |
| Authors: | HU Qian HONG Liu-rong MA Ling-ling |
| |
| Affiliation: | (School of Computer Science and Technology, Huaibei Normal University, Huaibei 235000, China) |
| |
| Abstract: | In this paper, the developing situation and significance of the text detection in natural scene images are illustrated. Then a general overview of the basic flow of the text detection given. Some important methods currently are enumerated and their advantages and their disadvantages of various concrete methods based on connected component,texture,edge,coner and ma- chine leaning method is analysed while on the steps of excluding non-text area and merging the text block region are elaborated. Lastly ,a summary of the various methods of text detection. |
| |
| Keywords: | text detection connected component image texture Natural images machine learning |
| 本文献已被 维普 等数据库收录！ |
|
