• DocumentCode
    3589202
  • Title

    Ote-OCR based text recognition and extraction from video frames

  • Author

    Shetty, Shashank ; Devadiga, Arun S. ; Chakkaravarthy, S. Sibi ; Varun Kumar, K.A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Centre for Dev. of Adv. Comput. (CDAC), Pune, India
  • fYear
    2014
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    The goal of this paper is to provide a new method to detect and recognize the text from the video frames. The task performed is divided into three step approach that combines the text detection and text recognition from the video frame. The video frame creation involves in dividing the video into an individual frames. The individual frame is grabbed and passed to the rest two phases. The text detection is a two-step approach, which involves text localization phase and the text verification phase. The text recognition involves in text verification phase and the optical character recognition phase. The final outcome of this paper is the detection of the text from the video frames in a word file. Experimental results demonstrating the proposed approach was also included, which shows the accuracy level of Optical character recognition(OCR) in terms of text extraction.
  • Keywords
    optical character recognition; text detection; OTE-OCR based text recognition; optical character recognition phase; text detection; text localization phase; text verification phase; video frame creation; video frames; word file; Character recognition; Image edge detection; Optical character recognition software; Optical filters; Optical imaging; Text recognition; Video sequences; OCR; Text Extraction; Text Verification; Text recognition; localization; video frame;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Control (ISCO), 2014 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4799-3836-0
  • Type

    conf

  • DOI
    10.1109/ISCO.2014.7103949
  • Filename
    7103949