What is it about?
Secure verification from multiple biometric modalities to aid performance improvement and security.
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Why is it important?
Template protection Score level fusion Transformation based fusion No learning required Minimal computational complexity
Perspectives
1. Two-level fusion of scores obtained for cancelable multimodal biometric system. 2. MC weighting and RA weighting methods to fuse different matchers and modalities. 3. Robustness of the method is analyzed using two datasets with different scenarios. 4. The proposed method outperform over the existing approaches. 5. Significant relative performance improvement over unimodal biometric systems. The work has been funded by SERB-DST.
Mr Rudresh Dwivedi
Indian Institute of Technology Indore
Read the Original
This page is a summary of: Score-level fusion for cancelable multi-biometric verification, Pattern Recognition Letters, April 2018, Elsevier,
DOI: 10.1016/j.patrec.2018.04.022.
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