Abstract
A method of planar curve classification, which is invariant to rotation, scaling and translation using the zero-crossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.
| Original language | English |
|---|---|
| Pages (from-to) | 775-777 |
| Number of pages | 3 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E80-A |
| Issue number | 4 |
| Publication status | Published - 1997 |
Keywords
- Pattern recognition
- Planar curve
- Wavelet transform
- Zero-crossings