Abstract
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 language | English |
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| Title of host publication | Proceedings of the First International Conference on Multimodal Interface |
| Publisher | International Conference on Multimodal Interface |
| Pages | 274-279 |
| Number of pages | 6 |
| Publication status | Published - Oct 1996 |
| Event | First International Conference on Multimodal Interface, ICMI'96 - Beijing, China Duration: 15 Oct 1996 → 17 Oct 1996 |
Conference
| Conference | First International Conference on Multimodal Interface, ICMI'96 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 15/10/96 → 17/10/96 |
User-Defined Keywords
- Document analysis
- Wavelets
- Two-dimensional multiresolution analysis (MSA)
- Wavelet decomposition algorithm
- Sub-image
- Compactly supported orthonormal wavelets