scholarly journals MULTIMODAL BIOMETRIC SYSTEM FOR USER AUTHENTICATION WITH FUZZY FUSION OF FACE AND FINGERPRINT

2015 ◽  
Vol 2 (06) ◽  
Keyword(s):  
User Authentication ◽  
Biometric System ◽  
Multimodal Biometric System ◽  
Fuzzy Fusion

Fuzzy Fusion for Multimodal Biometric

2013 ◽  
pp. 98-111
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Mathematical Tool ◽  
Fusion Method ◽  
Biometric System ◽  
Multimodal Biometric System ◽  
Noisy Input ◽  
Fuzzy Fusion ◽  
Biometric Information ◽  
Fusion Approach

Fuzzy logic is a mathematical tool that can provide a simple way to derive a conclusion with the presence of noisy input information. It is a powerful intelligent tool and used heavily in many cognitive and decision-making systems. In this chapter, fuzzy logic-based fusion approach for multimodal biometric system is discussed. After discussing the basics of fuzzy logic, the fuzzy fusion mechanism in the context of a multimodal biometric system is illustrated. A brief discussion on the research conducted for fuzzy logic-based fusion in different application domains is also presented. The biggest advantage of the system is that instead of binary “Yes”/“No” decision, the probability of a match and confidence level can be obtained. A fuzzy fusion-based biometric system can be easily adjusted by controlling weight assignment and fuzzy rules to fit changing conditions. Some results of experimentations conducted in a recent research investigation on two virtual multimodal databases are presented. The discussion on the effect of incorporating soft biometric information with the fuzzy fusion method to make the system more accurate and robust is also included.

Multimodal Biometric System and Information Fusion

2013 ◽  
pp. 48-68 ◽  
Keyword(s):  
Information Fusion ◽  
Fusion Method ◽  
Biometric System ◽  
Operational Parameters ◽  
Multimodal Biometric System ◽  
Biometric Systems ◽  
Fuzzy Fusion ◽  
Different Sources ◽  
Multimodal Biometric Systems

Integrating different information originating from different sources, known as information fusion, is one of the main factors of designing a biometric system involving more than one biometric source. In this chapter, various information fusion techniques in the context of multimodal biometric systems are discussed. Usually, the information in a multimodal biometric system can be combined in senor level, feature extraction level, match score level, rank level, and decision level. There is also another emerging fusion method, which is becoming popular—the fuzzy fusion. Fuzzy fusion deals with the quality of the inputs or with the quality of any system components. This chapter discusses the associated challenges related to making the choice of appropriate fusion method for the application domain, to balance between fully automated versus user defined operational parameters of the system and to take the decision on governing rules and weight assignment for fuzzy fusion.

Multimodal biometric system based on information set theory and refined scores

2016 ◽  
Vol 21 (17) ◽  
pp. 5133-5144 ◽  
Author(s):  
Parul Arora ◽  
Sandeep Bhargava ◽  
Smriti Srivastava ◽  
Madasu Hanmandlu
Keyword(s):  
Set Theory ◽  
Biometric System ◽  
Multimodal Biometric System ◽  
Information Set
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