关键词: 人脸识别, 二维经验模态分解, 分形维数, 特征提取

Abstract: A methodology for face recognition based on Bidimensional Empirical Mode Decomposition（BEMD） and fractal box-counting method is proposed. The methodology involves feature extraction of face image using BEMD and fractal box-counting dimension. After the preprocessing procedure, the effective face image is decomposed into 2D Intrinsic Mode Function（IMF） components at different spatial frequencies by BEMD. Then the texture features of each intrinsic mode function image are obtained via the box-counting method. To evaluate the efficacy of the proposed method, BPNN used in recognition. The experimental results using the ORL face database show that the proposed method achieves promising results and improve the performance of the recognition system.

Key words: face recognition, bidimensional empirical mode decomposition, fractal dimension, feature extraction