Nearest neighbourhood classifiers in a bimodal biometric verification system fusion decision scheme
Identity verification systems that use a mono modal biometrics always have to contend with
sensor noise and limitations of feature extractor and matching. However combining …
sensor noise and limitations of feature extractor and matching. However combining …
[图书][B] Multiple Classifier Systems: 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings
MCS 2013 received 59 full submissions. The Program Committee consisting of 45 experts
carefully reviewed the submissions, with the help of external reviewers. Based on the …
carefully reviewed the submissions, with the help of external reviewers. Based on the …
Multimodal Biometrics: Topics in Score Fusion
L Puente, MJ Poza, JM Gómez, D Carrero - Computational Intelligence in …, 2009 - Springer
This paper describes how the last cutting-edge advances in Computational Intelligence are
being applied to the field of biometric security. We analyze multimodal identification systems …
being applied to the field of biometric security. We analyze multimodal identification systems …
Score level fusion of multimodal biometrics using triangular norms
A multimodal biometric system that alleviates the limitations of the unimodal biometric
systems by fusing the information from the respective biometric sources is developed. A …
systems by fusing the information from the respective biometric sources is developed. A …
An experimental comparison of different methods for combining biometric identification systems
Several works in the recent literature on biometrics demonstrate the efficiency of the
multimodal fusion to enhance performance and reliability of the automatic recognition. In this …
multimodal fusion to enhance performance and reliability of the automatic recognition. In this …
[PDF][PDF] Methods for biometric data connection in multimodal systems
S Paunović, D Starčević, I Jerinić - ICT AND MANAGEMENT …, 2014 - symorg.fon.bg.ac.rs
Multimodal Biometric Systems in Identity Verification use statistical data on anatomical and
physiological characteristics of humans and they always carry a dose of certain amount of …
physiological characteristics of humans and they always carry a dose of certain amount of …
Complex numbers as a compact way to represent scores and their reliability in recognition by multi-biometric fusion
Multi-biometric systems are a powerful solution to deal with limitations of single classifiers,
therefore improving the final recognition accuracy. The sub-systems composing the final …
therefore improving the final recognition accuracy. The sub-systems composing the final …
Multibiometric fusion strategy and its applications: A review
The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
Data fusion in biometrics
M Faundez-Zanuy - IEEE Aerospace and Electronic Systems …, 2005 - ieeexplore.ieee.org
Any biometric system has drawbacks and cannot warranty 100% identification rates, nor 0%
false acceptance and rejection ratios. One way to overcome the limitations is through a …
false acceptance and rejection ratios. One way to overcome the limitations is through a …