Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (19): 156-160.

### Robust face recognition based on spectral regression optimized by local linear embedding

WANG Lirong

1. Zhongshan Torch Vocational and Technical College, Zhongshan, Guangdong 528437, China
• Online:2014-10-01 Published:2014-09-29

### 局部线性嵌入优化光谱回归的鲁棒人脸识别

1. 中山火炬职业技术学院，广东 中山 528437

Abstract: For the robust face recognition problem with high-dimensional small sample, the algorithm of spectral regression classification optimized by local linear embedding is proposed. Firstly, feature vectors of training samples are calculated. Then, local linear embedding is used to construct embedding needed by classification and embeddings needed by sub-manifold of each classification is learned. Finally, spectral regression classification algorithm is used to compute project metrics, and nearest neighbor classifier is used to recognize face. Experimental results on the common face datasets FERET, AR and Extended YaleB show that proposed algorithm has better recognition efficiency than several other spectral regression algorithms.