Rank level fusion of multimodal biometrics based on cross-entropy monte carlo method

S Ahmad, R Pal, A Ganivada - … SIRS 2019, Trivandrum, India, December 18 …, 2020 - Springer
In unimodal biometric systems, there are several limitations like, non-universality, noisy data
and other security risks. To overcome these, multimodal biometric systems are increasingly …
被引用次数：4 相关文章

Rank Level Fusion of Multimodal Biometrics Based on Cross-Entropy Monte Carlo Method

S Ahmad, R Pal, A Ganivada - 2020 - dspace.uohyd.ac.in
In unimodal biometric systems, there are several limitations like, non-universality, noisy data
and other security risks. To overcome these, multimodal biometric systems are increasingly …

Rank Level Fusion of Multimodal Biometrics Based on Cross-Entropy Monte Carlo Method

S Ahmad, R Pal, A Ganivada - Advances in Signal Processing …, 2020 - books.google.com
In unimodal biometric systems, there are several limitations like, non-universality, noisy data
and other security risks. To overcome these, multimodal biometric systems are increasingly …