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Rank Level Fusion

Rank Level Fusion

Copyright: © 2013 |Pages: 11
ISBN13: 9781466636460|ISBN10: 1466636467|EISBN13: 9781466636477
DOI: 10.4018/978-1-4666-3646-0.ch005
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MLA

Marina L. Gavrilova and Maruf Monwar. "Rank Level Fusion." Multimodal Biometrics and Intelligent Image Processing for Security Systems, IGI Global, 2013, pp.69-79. https://doi.org/10.4018/978-1-4666-3646-0.ch005

APA

M. Gavrilova & M. Monwar (2013). Rank Level Fusion. IGI Global. https://doi.org/10.4018/978-1-4666-3646-0.ch005

Chicago

Marina L. Gavrilova and Maruf Monwar. "Rank Level Fusion." 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.ch005

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Abstract

Rank level fusion is one of the after matching fusion methods used in multibiometric systems. The problem of rank information aggregation has been raised before in various fields. This chapter extensively discusses the rank level fusion methodology, starting with existing literature from the last decade in different application scenarios. Several approaches of existing biometric rank level fusion methods, such as plurality voting method, highest rank method, Borda count method, logistic regression method, and quality-based rank fusion method, are discussed along with their advantages and disadvantages in the context of the current state-of-the-art in the discipline.

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