Face description and recognition by sequence of Gabor pyramid with change in age
Guoyin Wang · Journal of Computer Applications · 2013
Facial feature change occur in varying degrees with the increase of age.These features involve the shape features and texture features,which increase the difficulty of face recognition.In order to accurately describe the facial features with change in age to improve the accuracy of face recognition,firstly,this paper applied the innovation of Gabor wavelet on the pyramid model to structure the Gabor pyramid characteristic sequence.This paper used mean grid to descend and denoise the Gabor pyramid characteristic sequence initially,and then reconstructed pyramid characteristic sequence of different samples at the same level and direction.Finally,this paper constructed forty parallel classifiers to classify by using Direct Fractional-step Linear Discriminant Analysis(DF-LDA) algorithm.The experimental results show that the Gabor pyramid characteristic sequence can improve the accuracy of face recognition with the change in age.