A Performance Analysis of the Face Recognition Based on PCA/LDA on Distance Measures
Youngjun Song, Young-Gil Kim, Jae-Hyeong Ahn · Journal of the Korea Academia-Industrial cooperation Society · 2005
In this paper, we analysis the recognition performance of PCA/LDA by distance measures. We are adapt to ORL face database with the fourteen distance measures. In case of PCA, it has high performance for the manhattan distance and the weighted SSE distance to face recognition, In case of PCA/LDA, it has high performance for the angle-based distance and the modified SSE distance. Also, PCA/LDA is better than PCA for reduction of dimension. Therefore, the PCA/LDA method and the angle-based distance have the most performance and a few dimension for face recognition with ORL face database.