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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS) EBSCO, Google Scholar, Ulrich Periodicals Directory, Crossref, ProQuest, Index CopernicusEI (INSPEC, IET).
    • E-mail: ijet@vip.163.com
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2011 Vol.3(3): 287-289 ISSN: 1793-8236
DOI: 10.7763/IJET.2011.V3.239

Video OCR for Video Indexing

Sankirti S. and P. M. Kamade

Abstract—Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very complex background. To tackle the problem preprocessing on text image plays vital role. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.

Index Terms—Video OCR, Binarization, video Text, video indexing.

Sankirti S. and P. M. Kamade, are with the Computer Department, Sinhagad College of engineering, Pune (E-mail:sankirtis@yahoo.com, pravinkamde@rediffmail.com).

[PDF]

Cite: Sankirti S. and P. M. Kamade, "Video OCR for Video Indexing," International Journal of Engineering and Technology vol. 3, no. 3, pp. 287-289, 2011.

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