• DocumentCode
    1616538
  • Title

    A Novel Text Detection Approach Based on Multi-Structure Element of Morphology

  • Author

    Li, Minhua ; Bai, Meng

  • Author_Institution
    Dept. of Electr. & Inf. Eng., Shandong Univ. of Sci. & Technol., Jinan, China
  • fYear
    2012
  • Firstpage
    1438
  • Lastpage
    1441
  • Abstract
    A novel text detection method based on multi-structure elements of morphology is presented to extract text lines in this paper. Firstly, a multi-structure elements of morphology-based scheme is executed to extract contrast edges from color images. Then connected component analysis and a cascade classification scheme are adopted to obtain candidate text lines. Finally, a projection based method is applied to extract character characteristics to filter out impossible text lines. Experimental results indicate that the proposed method can effectively detect text lines in different font-size, language and background complexity.
  • Keywords
    edge detection; feature extraction; statistical analysis; text detection; background complexity; cascade classification scheme; color images; connected component analysis; contrast edge extraction; morphology-based scheme; multistructure element; novel text detection approach; text line detection; text line extraction; Industrial control; Edge detection; Morphology; Multi-structure element; Text detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.379
  • Filename
    6322668