Face Recognition Algorithm using Vector Quantization Codebook Space Information Processing

Abstract We propose a novel information-processing algorithm called Vector Quantization (VQ) codebook space information processing. Based on this algorithm, we have developed a very simple yet highly reliable face recognition method called VQ histogram method. General codebook consisting of 33 low-frequency patterns for VQ processing is created by theoretical method. codevector referred (or matched) count histogram, which is obtained by VQ processing of facial image, is utilized as a very effective personal feature value. By applying appropriate low pass filtering to facial image and VQ processing, useful features for face recognition can be extracted. Experimental results show recognition rate of 95.6 %for 40 persons’ 400 images of publicly available AT&T database containing variations in lighting, posing, and expressions. By combining multiple low pass filtering procedures, recognition rate increases up to 97 % or higher. After considering the essence of the VQ histogram method, moreover, we also have d...