Multi-classification Recognition Method Applied to Facial Image Based on Distribution Characteristic of Heavy-tailed Noise
Zhang Ru-yan① Wang Shi-tong②
①(School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China) ②(School of Digital Media, Jiangnan University, Wuxi 214122, China)
Abstract：Multi-classification method under t distribution is proposed in order to solve the problem of the traditional face classification methods failing to settle tailing situation with heavy-tailed noise. By adjusting the degree of freedom parameter v, t distribution will adapt to a variety of tailing conditions better after heavy-tailed noise is added in facial images, at the same time, the recognition results will be improved. The experimental results on ORL and Yale show the feasibility and the effectiveness of the proposed algorithm.
张如艳, 王士同. 基于重尾噪声分布特性的多分类人脸识别方法[J]. 电子与信息学报, 2012, 34(3): 523-528.
Zhang Ru-Yan, Wang Shi-Tong. Multi-classification Recognition Method Applied to Facial Image Based on Distribution Characteristic of Heavy-tailed Noise. , 2012, 34(3): 523-528.
2012, Vol. 34 
