Face recognition by fractal transformations
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6, 3537-3540 vol.6
- https://doi.org/10.1109/icassp.1999.757606
Abstract
In this paper, we propose a new method for computerized human face recognition using fractal transformations. We 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.Keywords
This publication has 18 references indexed in Scilit:
- Shape recognition using a novel fractal techniquePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A novel fractal block-coding technique for digital imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fractal face representation and recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An analytic-to-holistic approach for face recognition based on a single frontal viewIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- A nonlinear model for fractal image codingIEEE Transactions on Image Processing, 1997
- Face recognition/detection by probabilistic decision-based neural networkIEEE Transactions on Neural Networks, 1997
- Face recognition: a convolutional neural-network approachIEEE Transactions on Neural Networks, 1997
- A Discrete Framework for Fractal Signal ModelingPublished by Springer Nature ,1995
- View-based and modular eigenspaces for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Application Of Recurrent Iterated Function Systems To ImagesPublished by SPIE-Intl Soc Optical Eng ,1988