In present days, biometric based security systems achieved more attention due to incessant terrorism threats around the world. On the other hand, a security system comprised of a single form of biometric information cannot fulfil users' expectations and may suffer from noisy sensor data, and inter class variations and continuous spoof attacks. To overcome some of these problems, a multimodal biometric system became more popular due to increased recognition accuracy. Sequentially to take full advantage of the multimodal approaches, one of the main issues is to implement the fusion mechanism for different biometric information. In this work, we tried to utilize attributes (finger and iris) from a standard database and tried to improve the performance.