Introduction
Related work
Principal component analysis for local orientation and energy
Constructing histogram of local dominant orientation
LDOFH for feature extraction
The dominant orientation map and the energy map
Constructing dense histogram as the extracted feature
Obtaining the low-dimensional feature
The algorithm of LDOFH
Merits of LDOFH
Experiments
Experiment on AR database
PCA | FLDA | LBP | LTP | D-HLDO | LDOFH | |
---|---|---|---|---|---|---|
Recognition rate | 0.833 | 0.976 | 0.953 | 0.964 | 0.978 |
0.986
|
LBP | D-HLDO | LDOFH | |
---|---|---|---|
Time cost(s) | 77.254 | 121.432 |
51.410
|