A PCA based feature extraction method for recognition of human faces

In this book, a robust technique for human face recognition based on Principal Component Analysis: Eigenfaces Approach is discussed and implemented. Eigenfaces approach seems to be an adequate method to be used in face recognition due to its simplicity, speed and learning capability. The proposed algorithm has been tested for the standard image databases such as ORL database and Indian Face database and is implemented in MATLAB. Experimental results are given to demonstrate the possibility of the proposed face recognition method.

Autorentext

Shemi P. M. received M.Tech.(Digital Electronics) from Cochin University of Science and Technology and B.E (Electronics and Communication Engg.) from M.S. University, South India. She is currently working as Assistant Professor at M.E.S. College, Aluva, Ernakulam, India. Her research areas include Digital Communication, Signal and Image Processing.