Improving Face Recognition Rate by Combining Eigenface Approach and Case-based Reasoning
are many approaches to the face recognition. This paper presents an approach that combines advantage of generalization ability of Principal Component Analysis (PCA) and specialization ability of Case-based reasoning (CBR). CBR is expected to improve the generalization ability of PCA in the recognition process. By using PCA the new image is projected into its eigenface components. The projected vector represents a description component of a new face case. The CBR module compares the similarity of the new face case and previously stored face cases in the face casebase and retrieves the most similar case. The solution component of the retrieved case represents the results of the recognition process.