Biometrics Sensor Fusion
نویسندگان
چکیده
منابع مشابه
Fusion of Face and Iris Biometrics Using a Stand-off Video Sensor
by Ryan Connaughton Multi-biometrics, or the fusion of more than one biometric modality, sample, sensor, or algorithm, is quickly gaining popularity as a method of improving biometric system performance and robustness. Despite the recent growth in multi-biometrics research, little investigation has been done to explore the possibility of achieving multi-modal fusion from a single sensor. This a...
متن کاملFusion of Face and Iris Biometrics from a Stand-Off Video Sensor
Multi-biometrics, or the fusion of more than one biometric modality, sample, sensor, or algorithm, is quickly gaining popularity as a method of improving biometric system performance and robustness. Despite the recent growth in multibiometrics research, little investigation has been done to explore the possibility of achieving multi-modal fusion from a single sensor. This approach to multi-biom...
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The greatest strength of biometrics is that it does not change over time. But at the same time while using it directly for enhancing the security in network system, if that data has been compromised, its compromised forever[1]. Therefore, cancellable biometrics will increase the privacy which means that the true biometrics are never stored or revealed to the authentication server. Biometrics, c...
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User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degree of freedom, non-universality of the biometric trait and unacceptable error rates. So the need of using multimodal biometric system occurred. A multimodal biometric system combines the different biometric traits and provides better recognition performance as compared to...
متن کاملTechnical Review of Multi Model Biometrics System
Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. Unimodal biometric systems allow person recognition based on a single source of biometric information but cannot guaranty a perfect identification. Such systems are sensitive to noisy sensor data, non-universality and lack of individuality of the chosen biometric trait, and ...
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