Face Recognition Algorithm Based on Multi-resolution and Classification

With the development of computer and internet, how to recognize face images rapidly has become the research focus in recent years. Therefore, face recognition technology develops rapidly, and is widely applied to national counterterrorism, information security and access control. But the researchers find that face recognition only can achieve satisfactory effect under the constraint conditions. The paper proposes face recognition algorithm based on multi-resolution analysis and classification. The algorithm firstly uses wavelet transform for multi-scale wavelet decomposition on training sample, and uses the correlation coefficient between wavelet coefficients with the maximum variance as the classification distance to classify the samples and determine the central image of the images. Face recognition algorithm based on multi-resolution analysis and classification extracts some wavelet coefficients of the images, which not only achieves the purpose of dimension reduction and reduces calculated amount, but also effectively improves the speed of face recognition. The simulation experiment proves that the algorithm proposed in the paper is effective.