• DocumentCode
    594791
  • Title

    A character recognition method in natural scene images

  • Author

    Gonzalez, Adriana ; Bergasa, Luis M. ; Yebes, J. Javier ; Bronte, S.

  • Author_Institution
    Dept. of Electron., Univ. of Alcala, Alcalá de Henares, Spain
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    Reading text from scene images is a challenging problem that is receiving much attention, especially since the appearance of imaging devices in low-cost consumer products like mobile phones. This paper presents an easy and fast method to recognize individual characters in images of natural scenes that is applied after an algorithm that robustly locates text on such images. The recognition is based on a gradient direction feature. Our approach also computes the output probability for each class of the character to be recognized. The proposed feature is compared to other features typically used in character recognition. Experimental results with a challenging dataset show the good performance of the proposed method.
  • Keywords
    character recognition; feature extraction; gradient methods; natural scenes; probability; text detection; fast method; gradient direction feature; individual character recognition method; natural scene images; output probability; text localisation; text reading; Character recognition; Histograms; Image edge detection; Robustness; Shape; Text recognition; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460211