A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 7 Issue 1
Jan.  2020

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 6.171, Top 11% (SCI Q1)
    CiteScore: 11.2, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
Article Contents
Shuping Liu, Yantuan Xian, Huafeng Li and Zhengtao Yu, "Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 214-222, Jan. 2020. doi: 10.1109/JAS.2017.7510427
Citation: Shuping Liu, Yantuan Xian, Huafeng Li and Zhengtao Yu, "Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 214-222, Jan. 2020. doi: 10.1109/JAS.2017.7510427

Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary

doi: 10.1109/JAS.2017.7510427
Funds:

the National Natural Science Foundation of China 61302041

the National Natural Science Foundation of China 61363044

the National Natural Science Foundation of China 61562053

the National Natural Science Foundation of China 61540042

the Applied Basic Research Foundation of Yunnan Provincial Science and Technology Department 2013FD011

the Applied Basic Research Foundation of Yunnan Provincial Science and Technology Department 2016FD039

More Information

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(4)

    Article Metrics

    Article views (1142) PDF downloads(58) Cited by()

    Highlights

    • Convert text detection into image decomposition to avoid influence of complex background of image.
    • SR-based pattern classification is introduced to increase dictionary discrimination capability.
    • A novel model is designed for separating the background and text, which detect texts accurately.

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return