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Post-processing of Video Text Detection

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Video Text Detection

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

This chapter introduces methods for text binarization and recognition as post-processing for text detection. Binarization pertains to the separation of text from the background of the detected text block. As an example of binarization methods, this chapter presents a fusion method which combines wavelet and gradient bands for the text lines with the help of k-means clustering on every row and column to binarize the image. Since video and natural scene images suffer from low resolution and complex background, it is hard to develop effective binarization methods which preserve shapes of characters without losing text pixels. Therefore, this chapter further presents a method for character shape reconstruction using ring radius transform. The method obtains radius values for each pixel in the edge image of the input character image, which is based on distance to the nearest white pixel. The medial axis pixel is then found horizontally and vertically by selecting maximum radius values between the strokes. This medial axis value helps in filling the gap between end points while preserving the shape of the character.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Nanjing University, Nanjing, China

    Tong Lu

  2. Faculty of CSIT, University of Malaya, Kuala Lumpur, Malaysia

    Shivakumara Palaiahnakote

  3. National University of Singapore, Singapore, Singapore

    Chew Lim Tan

  4. Multimedia Software Engineering Research Center, City University of Hong Kong, Kowloon Tong, Hong Kong SAR

    Wenyin Liu

Authors
  1. Tong Lu
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  2. Shivakumara Palaiahnakote
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  3. Chew Lim Tan
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  4. Wenyin Liu
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© 2014 Springer-Verlag London

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Lu, T., Palaiahnakote, S., Tan, C.L., Liu, W. (2014). Post-processing of Video Text Detection. In: Video Text Detection. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6515-6_5

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  • DOI: https://doi.org/10.1007/978-1-4471-6515-6_5

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6514-9

  • Online ISBN: 978-1-4471-6515-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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