Welcome to the InfoSci Platform
Fuzzy Fusion for Multimodal Biometric

Fuzzy Fusion for Multimodal Biometric

Copyright: © 2013 |Pages: 14
ISBN13: 9781466636460|ISBN10: 1466636467|EISBN13: 9781466636477
DOI: 10.4018/978-1-4666-3646-0.ch007
Cite Chapter Cite Chapter

MLA

Marina L. Gavrilova and Maruf Monwar. "Fuzzy Fusion for Multimodal Biometric." Multimodal Biometrics and Intelligent Image Processing for Security Systems, IGI Global, 2013, pp.98-111. https://doi.org/10.4018/978-1-4666-3646-0.ch007

APA

M. Gavrilova & M. Monwar (2013). Fuzzy Fusion for Multimodal Biometric. IGI Global. https://doi.org/10.4018/978-1-4666-3646-0.ch007

Chicago

Marina L. Gavrilova and Maruf Monwar. "Fuzzy Fusion for Multimodal Biometric." In Multimodal Biometrics and Intelligent Image Processing for Security Systems. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3646-0.ch007

Export Reference

Mendeley
Favorite

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.