Face Recognition Based on DCT and Improved Modular 2DPCA
Puts forward a new face recognition method based on the combination of Discrete Cosine Transform (DCT) and improved modular Two Dimensional Principal Component Analysis(2DP-CA). Processes a face image by using DCT to take out the sensitive intermediate and high frequency components and reduce the character dimensions and the computation effectively,and the image by using IM2DPCA to obtain the face recognition features.The Nearest Neighbor(NN) classifier is selected to perform face recognition.The experimental results on ORL,YaleB,CAS-PEAL and Feret face database show that this method is robust and efficient in the face recogni-