Multimodal biometric authentication using speech and hand geometry fusion

被引：10
|
作者：
Varchol, P. [1 ]
Levicky, D. [1 ]
Juhar, J. [1 ]
机构：
[1] Tech Univ Kosice, Dept Elect & Multimedia Commun, Kosice 04120, Slovakia
来源：
PROCEEDINGS OF IWSSIP 2008: 15TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING | 2008年
关键词：
biometrics; speaker recognition; hand geometry recognition; multimodal biometric system;
D O I：
10.1109/IWSSIP.2008.4604366
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents biometric security system based on fusion of voice print and hand geometry recognition technologies. Speaker recognition works as text independent and is designed to verify a person using a short utterance. GMM method is used for speaker modeling and GMM-UBM classifier is used for process of matching. Hand geometry technology uses 21 extracted features from image of user's hand and Euclidian distance for recognition. Information fusion in the multimodal system is performed at the matching score level, where scores obtained from matchers are combined using different normalization techniques and fusion rules. Multimodal system after fusion achieved 82.78% reduction in equal error rate over the better of the two independent systems.
引用
收藏
页码：57 / 60
页数：4
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