An approach to word image matching based on weighted Hausdorff distance

  • Lu Y
  • Tan C
  • Huang W
 et al. 
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Abstract

An approach to word image matching based on weighted Hausdorff distance (WHD) is proposed in this paper to facilitate the detection and location of the user-specified words in the document images. Preprocessing such as eliminating the space between adjacent characters in the word images and scale normalization is first done before the WHD is utilized to measure the distance between the template image and the word image extracted from the document image. Experimental results in the application of detecting the user-specified words from both English and Chinese document images show that it is a promising approach for word image matching

Author-supplied keywords

  • Character recognition
  • Chinese document images
  • Computer science
  • Degradation
  • English document images
  • Humans
  • Image matching
  • Image recognition
  • Image segmentation
  • OCR
  • Optical character recognition software
  • Pixel
  • Printing
  • document image processing
  • experimental results
  • image matching
  • optical character recognition
  • scale normalization
  • template image
  • user-specified words
  • weighted Hausdorff distance
  • word image matching

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Authors

  • Yue Lu

  • Chew LIm Tan

  • Weihua Huang

  • Liying Fan

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