Abstract
In this paper, we propose a new method for computerized human face recognition using fractal transformations. The popular use of fractal image coding has been for image compression. It is only recently that their uses for object recognition are being explored. We will show that by utilizing the intrinsic properties of block-wise self-similar transformations in fractal image coding we can use it to perform face recognition. The contractivity factor and the encoding scheme of the fractal encoder are shown to affect recognition rates. Using this method, an average error rate of 1.75% was obtained on the ORL face database.
| Original language | English |
|---|---|
| Pages (from-to) | 3537-3540 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Duration: 15 Mar 1999 → 19 Mar 1999 |