FUZZY LOGIC-BASED FUSION

The fuzzy logic based fusion approach for multimodal biometric system has been described. It is a powerful intelligent tool used in many cognitive and decision-making systems. After discussing the basics of fuzzy logic, the fuzzy fusion mechanism in the context of a multimodal biometric system has been illustrated. A brief discussion on the research conducted for fuzzy logic based fusion in different application domains has also been presented. The system overview and the choice of fuzzy rules to govern the system have been presented. The biggest advantage of the system is that instead of binary Yes/No decision, the probability of a match and confidence level can now be obtained. Moreover, system can be easily adjusted by controlling weight assignment and fuzzy rules to fit changing conditions. After presenting some notable results of experimentation, the incorporation of soft biometric information with the fuzzy fusion method to make the system more accurate and robust has also been tested.

Now, let us take a closer look at the way of how fuzzy logic can be utilized in biometric security domain, including both conceptual and practical aspects of such integration.

Fuzzy rule-based inference system. Similar to the experiments conducted for the evaluation of Markov chain based rank fusion method; this fuzzy fusion method also utilizes face, ear and iris biometric information. At first, the three matchers compare the three input biometric data with the stored templates and produce ranking based on the similarity/distance scores. Markov chain based rank fusion approach only utilizes rank information of a multimodal biometric system, on the other hand fuzzy fusion based biometric rank fusion uses rank as well as match score for biometric information consolidation.