Redefining the DCT-based feature for scene text detection

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30 Citations (Scopus)

Abstract

We analyze some spatial frequency-based features used for text region detection in natural scene images, and redefine the DCT-based feature. We employ Fisher's discriminant analysis to improve the DCT-based feature and to achieve higher accuracy. An unsupervised thresholding method for discriminating text and non-text regions is introduced and tested as well. Experimental results show that a wide high frequency band, covering some lower-middle frequency components, is generally more suitable for scene text detection despite the original definition of the DCT-based feature.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalInternational Journal on Document Analysis and Recognition
Volume11
Issue number1
DOIs
Publication statusPublished - 2008 Mar 13

Keywords

  • Discrete cosine transform
  • Fisher's discriminant analysis
  • Scene text
  • Text region detection

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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