Adaptively weighted sub-directional two-dimensional linear discriminant analysis for face recognition

作者：Yan, Lijun; Pan, Jeng-Shyang^*; Chu, Shu-Chuan; Khan, Muhammad Khurram

来源：Future Generation Computer Systems-The International Journal of eScience, 2012, 28(1): 232-235.

DOI：10.1016/j.future.2010.11.010

• Face recognition
• Directional filter banks
• Two-dimensional linear discriminant analysis

A novel image classification algorithm named Adaptively Weighted Sub-directional Two-Dimensional Linear Discriminant Analysis (AWS2DLDA) is proposed in this paper. AWS2DLDA can extract the directional features of images in the frequency domain, and it is applied to face recognition. Some experiments are conducted to demonstrate the effectiveness of the proposed method. Experimental results confirm that the recognition rate of the proposed system is higher than the other popular algorithms.

• 出版日期2012-1
• 单位深圳大学; 哈尔滨工业大学