In this paper, the authors implement feature level fusion for the extracted images of the different biometric features. The biometric features used here are face and iris. Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are used for feature extraction of face and iris independently and compared. The features of face and iris are fused by PCA fusion technique. Experimental results on ORL (Olivetti Research Laboratory) face database and CASIA (Chinese Academy of Sciences Institute of Automation) iris database are verified. MATLAB software is used to implement this multimodal biometric system.