TY - JOUR
T1 - Adaptively weighted sub-directional two-dimensional linear discriminant analysis for face recognition
AU - Yan, Lijun
AU - Pan, Jeng-Shyang
AU - Chu, Shu-Chuan
AU - Khan, Muhammad
PY - 2012/1
Y1 - 2012/1
N2 - 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.
AB - 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.
KW - Directional filter banks
KW - Face recognition
KW - Two-dimensional linear discriminant analysis
UR - http://www.scopus.com/inward/record.url?scp=80052815469&partnerID=8YFLogxK
U2 - 10.1016/j.future.2010.11.010
DO - 10.1016/j.future.2010.11.010
M3 - Article
SN - 0167-739X
VL - 28
SP - 232
EP - 235
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
IS - 1
ER -