Non-uniform patch based face recognition via 2D-DWT

• DOI: 10.1016/j.imavis.2014.12.005
• Publication Date: 2015-03-29T11:09:41Z
• Authors: Zheng-Hai Huang; Wen-Juan Li; Jin Shang; Jun Wang; Ting Zhang
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Abstract In this paper, we propose a method for face recognition by using the two-dimensional discrete wavelet transform (2D-DWT) and a new patch strategy. Based on the average image of all training samples, by using integral projection technique for two top-level's high-frequency sub-bands of 2D-DWT, we propose a non-uniform patch strategy for the top-level's low-frequency sub-band. This patch strategy is more suitable to reflect the structure feature of face image; and it is better for retaining the integrity of local information. By applying the obtained patch strategy to all samples, we obtain patches of training samples and testing samples; and then, give the final decision by using the nearest neighbor classifier and the majority voting. Experiments are run on the AR, FERET, Extended Yale B and LFW face databases. The obtained numerical results show that the new face recognition method outperforms the traditional 2D-DWT method and some state-of-the-art patch based methods.