This paper is used to implement feature level fusion for the extracted images of the different biometric features. The biometric features used here are face and iris. SVD is a fusion technology based on Singular Valued Decomposition method applied at feature level for recognise pattern. There are many objective methods to check the quality of fused image like Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Normalized Cross-Correlation (NCC) and Normalized Absolute Error (NAC). Self created face database and CASIA iris database is used for experimental results. The simulation process is done by MATLAB 7.
