MATLAB Implementation of Linear Discriminant Analysis (LDA) for Face Recognition

This is an LDA program I found elsewhere and would like to share as it demonstrates solid performance. The recognition accuracy is indeed impressive - I've verified this through testing on the ORCL face database. While I haven't yet experimented with other facial databases, I believe it would perform equally well. Your support and feedback would be greatly appreciated. I'd like to provide additional information about this program. This LDA implementation serves as a facial recognition tool that enables face identification and comparison. The code typically involves computing within-class and between-class scatter matrices, followed by eigenvalue decomposition to find optimal projection vectors that maximize class separability. The recognition performance has proven excellent in my ORCL database tests. Although untested on other facial databases currently, I anticipate similarly strong results across different datasets. I encourage users to share their experiences and suggestions for improvements to enhance this implementation further.