Face recognition using discrete wavelet graph

We propose a face recognition algorithm using the discrete wavelet face graph. Similar to the Gabor face graph, the method uses the elastic bunch graph matching process to locate fiducial points, but adopts different jet features using a discrete wavelet transform. Following the FERET identification protocol, 2340 face images are used to compare the recognition performance of the two methods. Experimental results show that the DWT face graph has comparable performance as the Gabor face graph. However, with fast computation and compact data structure, the DWT face graph has a unique advantage in real-time applications.