Bayesian adaptation for user-dependent multimodal biometric authentication
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A novel adapted strategy for combining general and user-dependent knowledge at the decision-level in multimodal biometric authentication is presented. Userindependent, user-dependent, and adapted fusion and decision schemes are compared by using a bimodal system based on fingerpr
A novel score-level fusion strategy based on Bayesian adaptation for user-dependent multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted for each user based on prior information extracted from a pool of users. Experimental resul
This study investigates a new client-dependent normalisation to improve a single biometric authentication system, as well as its effects on fusion. There exists two families of client-dependent normalisation techniques, often applied to speaker authentication. They are client-dep
In general, identification and verification are done by passwords, pin number, etc., which are easily cracked by others. To overcome this issue, biometrics has been introduced as a unique tool to authenticate an individual person. Biometric is a quantity which consists of individ
Techniques for authentication that are used in today's identity management systems are vulnerable when they are used over the network. In order to prevent fraud and unauthorized data access, it is important to ensure the identity of the person who submitted authentication credent