Haodong Liu
ABSTRACT
Biometric authentication based on the forearm is less exploited in previous studies than those based on the finger or the hand. Therefore, we propose a multimodal forearm biometric method that combines veins and geometry of a human forearm, using two veins features: SURF and line-based feature, and one geometry feature: forearm shape feature. The proposed method introduces a score-level fusion approach based on the Cumulative Match Characteristics (CMC) curve. Weighted SUM rule and z-score normalization are applied to obtain the final fusion score, and the optimal weights are calculated by analyzing the CMC(1) point and the CMC=100% point on CMC curves. Two comparison experiments show that the proposed multimodal biometric method outperforms the single-modal methods and other score-level fusion methods.
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Index Terms
- Multimodal Biometric Method Based on the Score-level Fusion of Forearm Vein and Forearm Geometry
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