Face recognition method based on quaternion wavelet magnitude /phase representation and block voting strategy
Zhi Yang Gao · Jisuanji yingyong yanjiu · 2010
This paper proposed a face recognition method based on magnitude/phase representation of the QWT and block voting strategy. This method firstly preprocessed human face images,then used four wavelets of QWT to extract the wavelet coefficients of multi-orientation,then computed quaternion amplitude and three phases. After combining these quaternion amplitude and phase features and dividing them into several sub-blocks,and classified each sub-block according to the principle of the nearest neighbor. Finally voted these sub-block classification results to acquire the ultimate face recognition. Experimental results on five face databases show that the method has high recognition rate and robustness to expression and light changes.