Two-dimensional wavelet transform in document analysis

Yuan Yan Tang, Jiming Liu, Hong Ma, Bing-Fa Li

Research output: Chapter in book/report/conference proceedingConference contribution


In this paper, a novel wavelet-based method will be presented. In this method, two-dimensional multiresolution analysis (MSA), wavelet decomposition algorithm, and compactly supported orthonormal wavelets are used to transform a document image into sub-images. Based on these sub-images, the reference lines of a grey-level document can be extracted, and knowledge about the geometric structure of the document can be acquired. Particularly, this approach appears to be more efficient in processing form documents with multi-grey level background.
Original languageEnglish
Title of host publicationProceedings of the First International Conference on Multimodal Interface
PublisherInternational Conference on Multimodal Interface
Number of pages6
Publication statusPublished - Oct 1996
EventFirst International Conference on Multimodal Interface, ICMI'96 - Beijing, China
Duration: 15 Oct 199617 Oct 1996


ConferenceFirst International Conference on Multimodal Interface, ICMI'96

User-Defined Keywords

  • Document analysis
  • Wavelets
  • Two-dimensional multiresolution analysis (MSA)
  • Wavelet decomposition algorithm
  • Sub-image
  • Compactly supported orthonormal wavelets


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