Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification

Mayank Vatsa, R. Singh, Afzel Noore, S.K. Singh

How to cite:

Mayank Vatsa, R. Singh, Afzel Noore, S.K. Singh

"Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification"

Seventh International Conference on Advances in Pattern Recognition,

(2009):

Authors:

Mayank Vatsa, R. Singh, Afzel Noore, S.K. Singh

Source:

Seventh International Conference on Advances in Pattern Recognition,

(2009)

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References

Jean Dezert, Florentin Smarandache

"Introduction to the Fusion of Quantitative and Qualitative Beliefs."

Information & Security: An International Journal

(2006):

9-49.

Field of application

Concepts and Implementation

Policy, strategy and doctrine

Technologies

C4ISR

Architectures

Modelling and Simulation

OR & Systems Analysis

Cryptography

Data mining

Deep Learning & AI

Emerging Technologies

ISIJ 55: Open Source Intelligence, Artificial Intelligence, and Human-centered Approaches to Cybersecurity and Countering Disinformation

Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification

The C-factor in the Cybersecurity Equation: The Importance of Student Cybersecurity Competitions

On Inequalities Bounding Imprecision and Nonspecificity Measures of Uncertainty

On the Effectiveness of Measures of Uncertainty of Basic Belief Assignments

Blockchain in Agriculture

Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification

Authors:

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Field of application

Concepts and Implementation

Technologies