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Adapted user-dependent multimodal biometric authentication exploiting general information
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DOI：10.1016/j.patrec.2005.06.008.png)
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Abstract
En 中文
A novel adapted strategy for combining general and user-dependent knowledge at the decision level in multimodal biometric authentication is presented. User-independent, user-dependent, and adapted fusion and decision schemes are compared by using a bimodal system based on fingerprint and written signature. The adapted approach is shown to outperform the other strategies considered in this paper. Exploiting available information for training the fusion function is also shown to be better than using existing information for post-fusion trained decisions. (c) 2005 Elsevier B.V. All rights reserved.
Keywords:
biometrics
multimodal
authentication
verification
user
local
global
support vector machine
fingerprint
signature
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