Journal ArticleDOI
Likelihood Ratio-Based Biometric Score Fusion
TLDR
Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.Abstract:
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for the optimal combination of match scores that is based on the likelihood ratio test. The distributions of genuine and impostor match scores are modeled as finite Gaussian mixture model. The proposed fusion approach is general in its ability to handle 1) discrete values in biometric match score distributions, 2) arbitrary scales and distributions of match scores, 3) correlation between the scores of multiple matchers, and 4) sample quality of multiple biometric sources. Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.read more
Citations
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Journal ArticleDOI
An accurate multi-modal biometric identification system for person identification via fusion of face and finger print
TL;DR: A novel multi-modal biometric system based on face and finger print based on extended local binary patterns (ELBP) and local non-negative matrix factorization is proposed in this work.
Proceedings ArticleDOI
A Novel Approach for Personalized Article Recommendation in Online Scientific Communities
TL;DR: In this work, a novel approach to recommend articles to the researchers is proposed that integrates three types of similarity measures: keyword similarity, journal similarity, and author similarity to measure the relevance of the articles to researchers.
An Overview on Multi-biometric Score-level Fusion - Verification and Identification
TL;DR: In this article, the authors present an overview of the multi-biometric score-level fusion problem, along with the proposed solution in the literature, and a discussion is made to provide a clearer view of future developments especially under the identification scenario where many related applications are rapidly growing.
Multi-Modal Biometric Authentications: Concept Issues and Applications Strategies
Mohamed Soltane,Mimen Bakhti +1 more
TL;DR: Multi-biometric systems, which consolidate information from multiple biometric sources, are gaining popularity because they are able to overcome limitations such as nonuniversality, noisy sensor data, large intra-user variations and susceptibility to spoof attacks that are commonly encountered in uni-biomet systems.
Journal ArticleDOI
Accurate Human Recognition by Score-Level and Feature-Level Fusion Using Palm–Phalanges Print
Gopal,Smriti Srivastava +1 more
TL;DR: It has been shown that each finger phalange can be used as a biometric modality and give moderate/sufficient performance for low-accuracy system and score-level and feature-level fusion strategies are applied and compared.
References
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Journal ArticleDOI
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