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An a-contrario Biometric Fusion Approach [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 Fusion is a key component in many biometric systems: it is one of the most widely used techniques to improve their accuracy. Each time we need to combine the output of systems that use different biometric traits, or different samples of the same biometric trait, or even different algorithms, we need to define a fusion strategy.
Luis D. Di Martino +5 more
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A comprehensive overview of biometric fusion [PDF]
Information Fusion, 2019 The performance of a biometric system that relies on a single biometric modality (e.g., fingerprints only) is often stymied by various factors such as poor data quality or limited scalability. Multibiometric systems utilize the principle of fusion to combine information from multiple sources in order to improve recognition accuracy whilst addressing ...
Arun Ross, Richa Singh, Maneet Singh
exaly +4 more sources
On Consistent Fusion of Multimodal Biometrics [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 Audio-visual (AV) biometrics offer complementary information sources, and the use of both voice and facial images for biometric authentication has recently become economically feasible. Therefore, multi-modality adaptive fusion, combining audio and visual information, offers an efficient tool for substantially improving the classification performance ...
Sun-Yuan Kung, Man-Wai Mak
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Selection of Heart-Biometric Templates for Fusion
IEEE Access, 2017 The heart is potentially a highly secured biometric modality. Although many templates have been proposed to be extracted from heart-signal for biometric authentication, they have yet to reach a single digit equal error rate (EER) of false matches and false non-matches when applied on large across-session data sets, where gallery and probe data are ...
Md. Saiful Islam 0001 +3 more
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Graph Fusion for Finger Multimodal Biometrics [PDF]
IEEE Access, 2019 In terms of biometrics, a human finger itself is with trimodal traits including fingerprint, finger-vein, and finger-knuckle-print, which provides convenience and practicality for finger trimodal fusion recognition. The scale inconsistency of finger trimodal images is an important reason affecting effective fusion.
Haigang Zhang +3 more
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On the Dynamic Selection of Biometric Fusion Algorithms [PDF]
IEEE Transactions on Information Forensics and Security, 2010 Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion scheme when 1) the number of training samples is limited, thereby affecting the use of a purely density-based scheme and the likelihood ratio test statistic; 2) the output of ...
Mayank Vatsa +3 more
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Soft Biometric Fusion for Subject Recognition at a Distance [PDF]
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2019 There is societal need for techniques to identify subjects at a distance and when conventional biometrics are obscured, for example in fighting crime. Soft biometrics have this capability and include a subject’s height, weight, skin colour and gender. Although the distinctiveness of soft biometric features is intuitively less than that of traditional ...
Bingchen H. Guo +2 more
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INTERNATIONAL JOURNAL ONLINE OF SCIENCE, 2016 Multimodal biometric innovation in light of unique mark and finger knuckle has pulled in footing among scientists as of late. Despite the fact that Uni-modular framework offers many focal points, it has certain intrinsic shortcomings which deny it of the appeal. Uni-modular unique finger impression biometric frameworks performed singular acknowledgment
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Error-Rate Based Biometrics Fusion [PDF]
, 2007 This paper addresses the face verification problem by fusing visual and infra-red face verification systems. Unlike the conventional least squares error minimization approach which involves fitting of a learning model to data density and then perform a threshold process for error counting, this work directly formulates the required target error count ...
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Multi-modal biometric fusion based continuous user authentication for E-proctoring using hybrid LCNN-Salp swarm optimization. [PDF]
Cluster Comput, 2022 Purohit H, Ajmera PK.
europepmc +1 more source