Security is the main concern in storing databases. Any methods can be used to secure the data. In addition to that identification also done to provide the correct service to the person. In our model we propose the methodology to include biometric fusion and encryption to store and secure user’s information. Image fusion is done from the information from different face and iris images. The method of considering only high intensity pixel based image fusion generate new images that hold the attractive information and characteristics of each input image. The fused resulting image is given to the encryption module and encrypted information in stored in database which is further used for identification and authentication. Fusion techniques and lightweight encryption algorithm has been implemented and simulated in MATLAB. The parameters correlation, computation time, Unified averaged changed intensity(UACI), Number of changing pixel rate(NCPR)and Entropy are calculated and the results show the effectiveness of encrypted fusion based on DWT. Entropy has been increased by 67%. NCPR of 99.6239 and UACI of 3.3004.