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Information fusion in biometrics
Pattern Recognition Letters, 2003User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degrees of freedom, non-universality of the biometric trait and unacceptable error rates. Attempting to improve the performance of individual matchers in such situations may not prove to be effective because of these inherent ...
Arun Ross, Anil K. Jain 0001
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Application-driven advances in multi-biometric fusion [PDF]
, 2018 Biometric recognition is the automated recognition of individuals based on their behavioral or biological characteristics. Beside forensic applications, this technology aims at replacing the outdated and attack prone, physical and knowledge-based, proofs of identity.
Damer, Naser
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Multi-biometric cohort analysis for biometric fusion
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Biometric matching decisions have traditionally been made based solely on a score that represents the similarity of the query biometric to the enrolled biometric(s) of the claimed identity. Fusion schemes have been proposed to benefit from the availability of multiple biometric samples (e.g., multiple samples of the same fingerprint) or multiple ...
Gaurav Aggarwal +3 more
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Information Fusion in Biometrics
2001User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degrees of freedom and unacceptable error rates. Attempting to improve the performance of individual matchers in such situations may not prove to be effective because of these inherent problems.
Arun Ross +2 more
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Biometric fusion by simulated annealing
International Journal of Knowledge-based and Intelligent Engineering Systems, 2012Biometric fusion is an essential procedure in any multi-modal biometric person recognition system, and it can be performed at sensor, feature, score and decision levels. This paper proposes to use a simulated annealing (SA) algorithm for the integration of multi-modal biometric data.
Lin Huang 0001 +3 more
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2010
The use of speech as a biometric gives limited accuracy in the problems of speaker recognition and verification. The need of better recognition scores has resulted in the fusion of speech with other biometric modalities. This chapter discusses the fusion of speech with face which gives a high recognition score at the same time making the system ...
Anupam Shukla, Ritu Tiwari, Rahul Kala
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The use of speech as a biometric gives limited accuracy in the problems of speaker recognition and verification. The need of better recognition scores has resulted in the fusion of speech with other biometric modalities. This chapter discusses the fusion of speech with face which gives a high recognition score at the same time making the system ...
Anupam Shukla, Ritu Tiwari, Rahul Kala
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Fusion for Multimodal Biometric Identification
2005In this paper, we investigate fusion methods for multimodal identification using several unimodal identification results. One fingerprint identification system and two face identification systems are used as fusion sources. We discuss rank level and score level fusion methods.
Yongjin Lee +6 more
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Fuzzy Fusion in Multimodal Biometric Systems
2007Multimodal authentication systems represent an emerging trend for information security. These systems could replace conventional mono-modal biometric methods using two or more features for robust biometric authentication tasks. They employ unique combinations of measurable physical characteristics: fingerprint, facial features, iris of the eye, voice ...
Vincenzo Conti +4 more
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Multi-Biometrics Fusion for Identity Verification
18th International Conference on Pattern Recognition (ICPR'06), 2006In this paper, we accomplish matching score level fusion of multi-biometrics. In order to solve the incomparability among different classifiersÂ’ outputs, Adaptive Confidence Transform (ACT) is introduced to convert the raw outputs of different classifiers to the estimates of posteriori probabilities conforming to different users.
Chang Shu 0005, Xiaoqing Ding
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An Ensemble Approach to Robust Biometrics Fusion
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006A clever information fusion algorithm is a key component in designing a robust multimodal biometrics algorithm. We present a novel information fusion approach that can be a very useful tool for multimodal biometrics learning. The proposed technique is a multiple view generalization of AdaBoost in the sense that weak learners from various information ...
Costin Barbu +2 more
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