Block comparison based face identification using HOG feature

The fully automatic face identification on the robot system usually meet challenging environments due to the motion blur, illumination change, and erroneous face normalization caused by imperfect face detection. In the face identification system, multiple images of same individual in gallery set can be used as useful sources for good identification. This paper introduces the face identification system using efficient comparison method between gallery and probe set using HOG features. The comparison method based on blocks makes possible that the system could effectively use the limited registration images in the classification step. The whole process is validated on ETRI-HRI Database acquired in uncontrolled environment.