Based on Fractional Brownian Motion and Fourier Descriptors of the Side Face Recognition Algorithm

Abstract:

This paper proposes a kind of the side face recognition algorithm base on Fractional Brownian motion and Fourier descriptors. This method is mainly innovating for feature extraction and making up for a shortage of the side face recognition algorithm. Firstly, by Fractional Brownian motion of Hurst index will get silhouette extracted. Then we through Fourier descriptors to obtain the desired feature points. Further study of this algorithm can solve the side of the face recognition rotation, scaling, and translation transform the impact. Comparative characteristics will make distance classifier and BP neural network classifier. This article also processes the analysis of the algorithm and the future development.

• Periodical: Applied Mechanics and Materials (Volume 596)
• Pages: 427-432
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.596.427
• Online since: July 2014
• Authors: Hong Wu, Gui Xin Tang*, Tao Han, Bai Hao Jie
• Keywords: BP Neural Network (BPNN), Face Recognition, Fourier Descriptor, Fractional Brownian Motion, Side Face Recognition

References

[1] Zhang Zhi-gang, Recognition method for profile face image, Computer Engineering and Applications, vol. 46, no. 12, pp.155-156, (2010).

[2] Zhen Han, Junjun Jiang, Ruimin Hu, Tao Lu. Pose-Variant Face Recognition through Manifold Learning Based Frontal Face Synthesis[J]. International Journal of Advancements in Computing Technology, 2013, 5(5): 172-182.

DOI: 10.4156/ijact.vol5.issue5.21

[3] Shengnan Wu, Yongxin Ge. A New Denoising Method and Its Application in Face Recognition[J]. International Journal of Advancements in Computing Technology, 2013, 5(5): 1122-1130.

DOI: 10.4156/ijact.vol5.issue5.134

[4] ZHANG Hong-yan, FAN Sheng-wei. Research on Face Recognition Algorithm Based on Improved Genetic Neural Network[J]. Journal of Convergence Information Technology, 2013, 8(5): 636-643.

DOI: 10.4156/jcit.vol8.issue5.73

[5] Zhao Xueming, Research on the Key Technologies of Image Segmentation Based on Fractal, Graduate School of National University of Defense Technology, China, (2008).

[6] Zhao Sanqin, Ding Weimin, Liu Deying, Rice Hopper Shape Recognition Based on Fourier Descriptors, Transactions of the Chinese Society of Agricultural Machinery, vol. 40, no. 8, pp.181-184, (2009).

[7] Pengli Lu, Xingbin Jiang. An Improved PCA Algorithm for Fast Face Recognition[J]. International Journal of Advancements in Computing Technology, 2013, 5(2): 429-435.

DOI: 10.4156/ijact.vol5.issue2.54