The LDA-Based Face Recognition at a Distance Using Multiple Distance Image

Abstract

These days surveillance system has been developed into intelligent system that can judge and handle using human recognition technology that can recognize the people. In this paper, LDA-based face recognition algorithm for the intelligent surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images but the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. In the proposed LDA-based long distance face recognition algorithm, bilinear interpolation uses for the normalization and Euclidean Distance measure method is used for similarity measure. As a result of experiment, it is confirmed that the proposed algorithm showed improved face recognition performance 6.1% in short distance and 31% in long distance.