Face recognition method using improved D-LDA based on DCT
Huiyuan Wang · Computer Engineering and Applications Journal · 2007
D-LDA is a simple and efficient linear projection technique for feature extraction.But it may encounter two probloms in application:(1)it may indirectly misses some useful information in null space of Sw while deleting null space of Sb;(2)its optimization criteria is not directly related to the classification accuracy.Discrete Cosine Transform(DCT) can compress the information of original signal efficiently.We propose an approach based on DCT and improved D-LDA.We reduce the dimension first and then extract features by improved D-LDA on the low dimension space to overcome the shortcomings of D-LDA furthest.The experimental result will show that this method has a better performance.