Results 101 to 110 of about 166,643 (176)

An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image [PDF]

open access: yes, 2009
Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity.
Nageshkumar, M   +2 more
core  

Multimodal biometrics score level fusion using non-confidence information [PDF]

open access: yes, 2011
Multimodal biometrics refers to automatic authentication methods that depend on multiple modalities of measurable physical characteristics. It alleviates most of the restrictions of single biometrics.
Chaw Poh, C
core  

Hybrid authentication systems: towards robust user authentication on wireless and mobile devices using biometric technologies

open access: yes, 2005
Adequate user authentication is a persistent problem, particularly with mobile devices, which tend to be highly personal and at the fringes of an organisation's influence.
Bencheikh, R., Vasiu, L.
core  

A Multimodal Biometric Recognition Method Based on Federated Learning

open access: yesIET Biometrics
Recently, multimodal authentication methods based on deep learning have been widely explored in biometrics. Nevertheless, the contradiction between the data privacy protection and the requirement of sufficient data when model optimizing has become ...
Guang Chen   +5 more
doaj   +1 more source

A Survey on Biometric Authentication

open access: yes, 2019
OA-julkaisu. Lisää artikkeli, kun julkaistu.In order to overcome the difficulty of password management and improve the usability of authentication systems, biometric authentication has been widely studied and attracted special attention in both academia ...
Rui, Zhang, Yan, Zheng
core   +1 more source

A robustness verification system for mobile phone authentication based on gestures using Linear Discriminant Analysis [PDF]

open access: yes, 2011
This article evaluates an authentication technique for mobiles based on gestures. Users create a remindful identifying gesture to be considered as their in-air signature. This work analyzes a database of 120 gestures of different vulnerability, obtaining
Bailador del Pozo, Gonzalo   +4 more
core  

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