Face Recognition Method for Single Sample Based on Virtual Image
Xiaoyong Xu · Jisuanji gongcheng · 2012
(Abstract )In view of face recognition with only one sample problem, this paper presents a method of face recognition based on virtual image. In order to enhance the classification information of single training sample, it first adds some virtual images generating from the given training image. By using Discrete Wavelet Transform(DWT), the low-frequency band is used as feature for recognition. Two-dimensional Principal Component Analysis(2DPCA) is performed on the low-frequency faces. Experimental results show that this method can filter the high frequency of informations which are caused by a expression change and little cover, and promote the recognition rate.