A data fusion technique designed for multimodal biometric systems

In this paper data obtained from the two recognizers (fingerprint, iris) are fused at the feature extraction level. A new method of data fusion is proposed. Decision about the person's identity is made for the proposed multimodal system and for each unimodal biometric system analyzed. Also the performance obtained by each system was compared and presented.