Application of Fractal Encoding in the Face Recognition
Shunbao Li · Journal of Chinese Computer Systems · 2007
The fast fractal face image compression algorithm based on symmetry and variance is proposed by using the inherent feature of facial symmetry. The matched domain blocks are restricted in the symmetrical region for a range block that can speed up the encoding speed. After analyzing the features of fractal codes, this paper defines the distance of fractal codes between images, furthermore, this paper proposes the face recognition algorithm based on fractal codes and analyzes the time complexity of the algorithm. The experimental results on the ORL and YALE face databases shows that the recognition rate of the proposed algorithm can achieve to 88% and 92%, respectively, that remains the same with the eigenface method and is higher than that of the variance based fractal encoding method. The proposed algorithm has certain robust with the face changing in accessories. The value of the parameter in the algorithm is also analyzed.